From contact at sscc.fr Sun Nov 1 15:26:15 2020 From: contact at sscc.fr (SSCC 2020) Date: Sun, 1 Nov 2020 21:26:15 +0100 (CET) Subject: Connectionists: CFP-SSCC 2020 :Online Conference - Deadline Nov. 15th In-Reply-To: <1609989062.31134.1603896134776@email.ionos.fr> References: <1594671022.759783.1603506462900@email.ionos.fr> <1659575027.759785.1603506876450@email.ionos.fr> <2017361011.39744.1603895779157@email.ionos.fr> <1609989062.31134.1603896134776@email.ionos.fr> Message-ID: <61554833.162424.1604262375566@email.ionos.fr> An HTML attachment was scrubbed... URL: From jonas.n.myhre at uit.no Mon Nov 2 04:52:30 2020 From: jonas.n.myhre at uit.no (Jonas Nordhaug Myhre) Date: Mon, 2 Nov 2020 09:52:30 +0000 Subject: Connectionists: [Extended deadline] the 4th Northern Lights Deep Learning Workshop Message-ID: *** Apologies for cross-posting + extended deadline*** Following the success of previous years, we are organizing the 4th Northern Lights Deep Learning Workshop on 18-20 January 2021. Like the past years, it will be an informal workshop on deep learning theory and applications in Troms?, Norway*. Please see http://www.nldl.org for more information. We are happy to have top international keynote speakers, including * Lars Kai Hansen, Department of Applied Mathematics and Computer Science ? DTU Compute * Laura Leal-Taixe, Dynamic Vision and Learning Group - The Technical University of M?nich. * Arthur Gretton, Centre for Computational Statistics and Machine Learning (CSML) at University College London. * Elsa D. Angelini, Imperial Biomedical Research Centre - National Institute of Healthcare Research (UK). * Roland Vollgraf, Zalando Research This year, we are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and made published in the conference proceedings after the workshop; (2) Extended abstracts (2 pages) will be presented either as orals or as posters (but not published in the conference proceedings). Deadline for both types of submissions: 23 November 2020. Instructions on template etc. can be found on http://www.nldl.org. Further, we will be holding a mini deep learning school (smaller tutorials). More info will be made available on https://www.nldl.org/program. * Due to the COVID-19 situation, the workshop will be held virtually. Kind regards, The NLDL 2021 Organizing committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Mon Nov 2 21:20:30 2020 From: terry at salk.edu (Terry Sejnowski) Date: Mon, 02 Nov 2020 18:20:30 -0800 Subject: Connectionists: NEURAL COMPUTATION - November, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 11 - November 1, 2020 available online for download now: http://www.mitpressjournals.org/toc/neco/32/11 http://cognet.mit.edu/content/neural-computation ----- Article A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals Terence Sanger, Mitsuo Kawato Letters Reverse Engineering Neural Networks to Characterize Their Cost Functions Takuya Isomura, Karl Friston Closed-loop Deep Learning: Generating Forward Models With Back-Propagation Sama Daryanavard, Bernd Porr Assessing Goodness-of-Fit in Marked-Point Process Models of Neural Population Coding via Time and Rate Rescaling Ali Yousefi, Yalda Amidi, Behzad Nazari, and Uri T. Eden Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion Yu Terada, Tomoyuki Obuchi, Takuya Isomura, and Yoshiyuki Kabashima Repetitive Control for Multi-Joint Arm Movements Based on Virtual Trajectories Yoji Uno, Takehiro Suzuki, and Takahiro Kagawa Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks Masaki Kobayashi ReLU Networks Are Universal Approximators via P iecewise Linear or Constant Functions Changcun Huang Effect of Top-down Connections in Hierarchical Sparse Coding Victor Boutin, Angelo Franciosini, Franck Ruffier, and Laurent Perrinet ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From jncor at dei.uc.pt Mon Nov 2 11:57:41 2020 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Mon, 2 Nov 2020 16:57:41 +0000 Subject: Connectionists: Fwd: Deadline Extension: EvoApps Special Session on Evolutionary Machine Learning In-Reply-To: References: Message-ID: Dear colleagues, FYI. ---------- Forwarded message --------- De: Penousal Machado Date: segunda, 2/11/2020, 16:01 Subject: Deadline Extension: EvoApps Special Session on Evolutionary Machine Learning To: Contacts Please distribute (Apologies for cross-posting) NEWS: Due to a large number of requests for late submissions, the EvoStar submission sites will stay open until Friday, November 19, after which no further submissions will be accepted. Authors who have already submitted, can update their work until this time. -------------------------------------------------------- Call for papers EvoApps Special Session on Evolutionary Machine Learning http://www.evostar.org/2021/evoapps/eml/ -------------------------------------------------------- Following the success of the 2020 event, the 2nd Special Session on Evolutionary Machine Learning (EML) of EvoApps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal of evolving Artificial Intelligence (AI). Giving response to the growing interest in the area, and consequent advances of the state-of-the-art, the special session covers theoretical and practical advances on the combination of Evolutionary Computation (EC) and Machine Learning (ML) techniques. Topics of interest include, but are not limited to: - EC as an ML technique: Using EC to solve typical ML tasks such as Classification or Clustering - EC applied ML algorithms: Neuroevolution, Feature Selection, Feature Engineering, Evolutionary Adversarial Models - ML applied to EC: Surrogate-model design by ML for EC, Learning Problem Structure, ML for Diversity, Designing Search Strategies, Predicting Promising Regions, Using ML to Decrease Computational Effort - Real world applications issues: EC for Fairness, Robustness, Trustworthiness and Explainability; Green EML - Emerging topics: EC for AutoML; EC for Transfer Learning; EC for Multitasking; Evolving Learning Functions, Neurons and Linkage; EC for Verification and Validation of ML Important Dates >>>> Submission deadline: 19 November 2020 <<<< Evo*: 7-9 April 2021 Submission details: Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format and provide up to five keywords in your Abstract. Page limit: 16 pages Submission link: https://easychair.org/conferences/?conf=evo2021 Organizers Penousal Machado Wolfgang Banzhaf -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: evo2021_flyer_v2_extended_deadline_02_11_2020.pdf Type: application/pdf Size: 1243830 bytes Desc: not available URL: From timothee.proix at unige.ch Tue Nov 3 09:31:25 2020 From: timothee.proix at unige.ch (=?UTF-8?Q?Timoth=C3=A9e_Proix?=) Date: Tue, 3 Nov 2020 15:31:25 +0100 Subject: Connectionists: =?utf-8?q?PhD_and_post-doctoral_positions_in_comp?= =?utf-8?q?utational_neuroscience_and_speech_production=2C_University_of_G?= =?utf-8?q?eneva=2C_Switzerland?= Message-ID: <20e36baf-dcec-462e-90f9-9cf596707e08@www.fastmail.com> One PhD and one postdoctoral positions are available under the supervision of Timoth?e Proix (https://timothee.proix.ch) in the Auditory Language Group led by Prof. Anne-Lise Giraud (https://neurocenter-unige.ch/research-groups/anne-lise-giraud) at the University of Geneva, Geneva, Switzerland. The project aims at developing a large-scale model of speech production using intracranial EEG data, and lies at the interface between data analysis, dynamical systems modeling, and machine learning. *Postdoctoral position. *The candidate will contribute to acquisition and analysis of intracranial EEG data and speech recordings. Applicants should have solid bases in maths/physics/bioengineering, prior experience in electrophysiological recordings and data analysis, as well as programming and machine learning skills. *P**hD** position. *The candidate will develop theoretical tools using dynamical systems theory to model neural activity during speech production. Applicants should hold a master degree in maths/physics/informatics/engineering. Previous experience in dynamical systems modeling, neuroscience, and programming will be valued. The research will be performed at the campus Biotech in the university of Geneva, a vibrant and stimulating environment for neuroscience research. The positions are funded by the Swiss National Science Foundation, and salaries are in compliance with their guidelines. The ideal start is early 2021, with some flexibility. Applications will be considered until the positions are filled. To apply, send a motivation letter, CV, and contact information for 2-3 references, as well as any other relevant documents to timothee.proix (at) unige.ch. Best regards, Timoth?e Proix -------------- next part -------------- An HTML attachment was scrubbed... URL: From Ezgi.Bulca at caesar.de Tue Nov 3 09:51:00 2020 From: Ezgi.Bulca at caesar.de (Ezgi Bulca) Date: Tue, 3 Nov 2020 14:51:00 +0000 Subject: Connectionists: Fully-funded PhD Positions in Neuroscience in Germany and US | IMPRS for Brain and Behavior Message-ID: Dear all, Our PhD applications are open, please forward it to people who might be interested. 15 fully-funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior Bonn, Germany & Jupiter, Florida (USA) Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University. The Projects More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Topics include but are not limited to circuits and behavior, learning and memory, sensory processing, molecular signaling in neurons, nervous system development, biophysics of neurons and glia, and disorders of the nervous system. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. Your Profile Proven track record of academic and research excellence. Bachelor's or Master's degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by October 2021). Fluency in written and spoken English. Research experience is of advantage. Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: November 15, 2020 https://www.imprs-brain-behavior.org/admissions/application-info/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be (virtually) interviewed in January-February. Positions must be started latest in October 2021. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info at caesar.de . All the best, Ezgi Bulca Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49/228/9656-318 e-mail: ezgi.bulca at caesar.de www.imprs-brain-behavior.mpg.de research center caesar center of advanced european studies and research an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Tue Nov 3 22:08:14 2020 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 3 Nov 2020 22:08:14 -0500 Subject: Connectionists: NEURON Virtual Course deadline approaching Message-ID: *What:* The one-day NEURON course presented as a series of short webinars. *When:* The webinars will run from 1 PM to 3 PM New York time on Monday and Tuesday, Nov. 16 and 17, and on Monday and Tuesday, Nov. 23 and 24, 2020 *Speakers:* Ted Carnevale and Robert McDougal Registration is on a first-come, first-serve basis, and the deadline is Friday, November 13, 2020 at 5 PM New York time. There is no fee, but *total registration will be limited to 40 individuals* in order to be most responsive to participants' questions. For more information and a link to the application form: https://neuron.yale.edu/neuron/static/courses/nrn2020/nrn2020.html From a.villavicencio at sheffield.ac.uk Tue Nov 3 19:14:56 2020 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Wed, 4 Nov 2020 00:14:56 +0000 Subject: Connectionists: Postdoc position in NLP/ML at the University of Sheffield Message-ID: <55C61267-054F-42C0-90CB-A4497F1CD509@sheffield.ac.uk> Postdoctoral researcher in Machine Learning applied to Natural Language Processing EPSRC Project: Modeling Idiomaticity in Human and Artificial Language Processing (MIA) Duration: 3 years full-time Application Deadline: 05.11.2020 The University of Sheffield (UK) The University of Sheffield invites applications for a three-year full-time postdoctoral researcher in Machine Learning applied to Natural Language Processing. The position is part of the EPSRC project on MIA: Modeling Idiomaticity in Human and Artificial Language Processing, a collaboration led by Prof. Aline Villavicencio, Dr. Carolina Scarton, and Prof. Anna Korhonen. We are looking to make an appointment as soon as possible with a deadline for December 2020 (or as soon as possible thereafter). The initial appointment will be until November 2021, with an extension until the 30th November 2023. The position is remunerated according to Grade 7 pay scale: ?31,866 - ?40,322 per annum (with the potential to progress to ?44,045 per annum, according to experience). The responsibility of the postdoctoral researcher is to research strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. The researcher will also be required to collaborate with the University of Cambridge (UK) and the Aix Marseille University (France), partners in this project (there is funding available for short visits to these institutions). Furthermore, The ideal candidate will have: - A PhD in Machine Learning/Natural Language Processing or related field; - A strong publication record commensurate with career stage; - Expertise in machine learning (applied to NLP), with experience in the analysis and development of classical and deep learning models; - Experience in using libraries for NLP and deep learning, such as Tensorflow and Keras; - Experience in data annotation, data collection, and creating new benchmark datasets for evaluation; - A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants. Expertise in at least one of the following areas is advantageous but not required: - Track record in ML/NLP methods for developing word embedding models; - Knowledge of machine translation models. MIA project: MIA is part of the EPSRC call for Responsible NLP for Intelligent Interfaces. In MIA, we will develop idiomatically-aware word/phrase representation models with the ability to process idiomatic (non-literal) language, by incorporating clues that are linguistically-motivated and cognitively-inspired by human processing data. Equipping natural language processing (NLP) models with the ability to process idiomatic expressions is important for obtaining more accurate representations that can lead to gains in downstream tasks, such as machine translation (MT) and text simplification (TS). MIA targets a crucial limitation in standard NLP models, as idiomaticity is part of human communication, with potential benefits to applications that include natural language interfaces, like conversational agents, question answering and information retrieval systems. Host institution: The project is hosted by the Department of Computer Science at the University of Sheffield, a leading international center for research in the UK. We are ranked in the top five for research excellence as part of the 2014 Research Excellence Framework, with 92% of our research outputs being world-leading or internationally-excellent. Our research environment is the best in the country (as measured by the 4* and 3* REF environment score). The NLP and Speech and Hearing groups have over 60 academics, maintaining an active program of seminars, with exceptional facilities for research, and ample opportunities for collaboration. It is one of the largest and most successful NLP groups in Europe, with multiple worldwide collaborations. Sheffield is a vibrant city with a rich cultural life, with a large number of parks and the Peak District just nearby, perfect for outdoor activities and a high quality of life. Applications must be submitted using the University of Sheffield system. More information can be found here: https://www.jobs.ac.uk/job/CBW959/research-associate-in-machine-learning-for-natural-language-processing-nlp The University of Sheffield is an equal opportunity employer. Applicants from underrepresented minorities are highly encouraged to apply. Remote working arrangements will be discussed upon request. The Department of Computer Science holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity. Application Deadline: 05.11.2020 For informal enquiries about this job and the recruiting department, contact: Professor Aline Villavicencio on <>a.villavicencio at sheffield.ac.uk . For administration queries and details on the application process, contact the lead recruiter: Renata Goddard on <>com-researchrecruitment at sheffield.ac.uk . For all online application system queries and support, visit: www.sheffield.ac.uk/jobs/applying ---------------------------------------------------- Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Tue Nov 3 16:30:40 2020 From: dayan at tue.mpg.de (Peter Dayan) Date: Tue, 3 Nov 2020 22:30:40 +0100 Subject: Connectionists: =?iso-8859-1?q?Interdisciplinary_Neuroscience_PhD?= =?iso-8859-1?q?_programme=2C_T=FCbingen?= Message-ID: <20201103213040.GA17023@tuebingen.mpg.de> The Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of T?bingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning aspiration to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is 30th November 2020. Please visit: https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details and information about applying. The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of T?bingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in T?bingen. Students (who should have been awarded a Bachelor's degree by September 2021) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English. -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4936 bytes Desc: not available URL: From jochem.rieger at uni-oldenburg.de Tue Nov 3 15:40:32 2020 From: jochem.rieger at uni-oldenburg.de (Jochem Rieger) Date: Tue, 3 Nov 2020 21:40:32 +0100 Subject: Connectionists: Deadline extended to Nov. 15th Postdoctoral position for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard. Message-ID: <9e6d5395-1aa6-5856-1e25-eb05c827d871@uni-oldenburg.de> Dear colleagues, We have an open post-doc level position for 3+2 years at the Neuroimaging Unit of Uni Oldenburg for the development of tools and infrastructure? for open data data and reproducible science based on the BIDS standard. The position? complemented by a full time technician position for support. The announcement is below. Please contact me if you have questions. We are looking forward to applications, ????? Jochem The Neuroimaging Unit at the School of Medicine and Health Sciences of the Carl von Ossietzky Universit?t Oldenburg is seeking to fill the position of a *Postdoctoral Research Associate m/f/d *(Salary level E13 TVL, 100%) *for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible*for a duration of three years (with the possibility to extend another two years after successful project evaluation). The position is suitable for part-time work. In a newly funded project we aim to implement data storage and processing pipelines for reproducible science building on the BIDS standard. The Neuroimaging Unit hosts a state of the art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The successful candidate is expected to actively contribute to the implementation of neuroscience data acquisition, storage, and reproducible analysis pipelines building on the BIDS standard at the University of Oldenburg, to contribute to community efforts, and dissemination. Therefore, candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, demonstrated by the outstanding quality of their doctorate/PhD research and an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMR or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to ? 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany; (jochem.rieger at uni-oldenburg.de ). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*15th of November 2020*. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865 -------------- next part -------------- An HTML attachment was scrubbed... URL: From andre.gruening at hochschule-stralsund.de Wed Nov 4 04:20:36 2020 From: andre.gruening at hochschule-stralsund.de (=?UTF-8?B?QW5kcsOpIEdyw7xuaW5n?=) Date: Wed, 4 Nov 2020 10:20:36 +0100 Subject: Connectionists: Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing Message-ID: <20201104102036.7830dd1e.andre.gruening@hochschule-stralsund.de> Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing Andre Gruning, University of Applied Sciences Stralsund In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project"?we are offering a 24months fixed-term postdoctoral post, available immediatly. ?The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at . ?Welcome to the University of Applied Sciences Stralsund! With our campus on the shores of the Baltic Sea, we deliver industrial related studies with excellent job prospects to about 2300 students. Life on our campus is characterised by excellent facilities for both teaching and research and flat hierarchies. The historical centre of the UNESCO world heritage town of Stralsund is within easy reach on foot; maritime water sports, nature and the island of Rugia at our doorstep stand for the highest quality of life. As a certified family-friendly institution we embrace modern life and a proper work-life balance. We are looking forward to meeting people who are keen to strengthen our research team and are advertising the following fixed-term post, subject to confirmation of funding: **Research Assistant (f/m/d) in the EU-funded research project ?The Human Brain Project?** The post is available immediately for 24 months (full-time) for a postdoctoral candidate. You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that utilise the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry. The work will be carried out in close cooperation with research groups across Europe that are partners in the Human Brain Project, for example groups at the Universities of Heidelberg, Bern or Manchester. **Your job responsibilities include the following:** - Development, implementation and evaluation of learning rules for artificial spiking neural networks with the aim to realise deep learning on neuromorphic hardware. - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project ?The Human Brain Project?, see in the area described above. - Participation in project management and reporting. **We expect from you:** - A PhD in a relevant area, for example computer science, mathematics, physics, cognitive science and neuroscience or engineering. - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus. - Experience within the area of artificial neural networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Experience with Unix-like operating systems and tool chains. - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus. - Experience with presenting research results. - Solid mathematical expertise. - A conscientious, independent and self-motivated attitude towards work. **We offer:** - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - A work contract subject to the collective labour agreement of the public service of the German federal states (TV-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 40 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof Andr? Gr?ning (E-Mail: ). According to ?68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate?s request. If desired, please include such request in free form within your application documents. Please send your job application with all relevant documents in a single pdf file to or by mail to Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund on or before the **deadline 15.11.2020**. Thereafter applications will be reviewed until the post is filled. The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations. As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expenses, including those arising for a potential interview. -- Prof. Dr. Andr? Gr?ning -- Mathematik und K?nstliche Intelligenz Fakult?t Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany From Tom.Hanika at cs.uni-kassel.de Wed Nov 4 05:26:05 2020 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Wed, 4 Nov 2020 11:26:05 +0100 Subject: Connectionists: CfP -- ICFCA 2021 -- 16th Intern. Conf. on Formal Concept Analysis (June 29 -- July 2, 2021, Strasbourg, France) Message-ID: ================================================================================ ?ICFCA 2021 ?16th International Conference on Formal Concept Analysis ?June 29 -- July 2, 2021, Strasbourg, France ?Web: ?Mail: icfca2021 at sciencesconf.org ================================================================================ * Overview Formal Concept Analysis emerged in the 1980's from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Life and Social Sciences, etc. All accepted submissions will be refereed, and the conference proceedings will be published by Springer in the LNCS/LNAI series. * Topics Main topics of interest include, but are not limited to: ** Fundamental aspects of FCA - FCA theory - Lattice theory - Lattice drawing - Philosophical foundations - Algorithms and complexity theory ** Bridging FCA to information sciences and artificial intelligence - FCA and logic, e.g., semantic web, description logics - FCA and conceptual structures, e.g., concept graphs, knowledge spaces - FCA and data analysis, e.g., hierarchical classification, data organization - FCA and data mining, e.g., pattern mining - FCA and information retrieval, e.g. exploratory search, navigation, querying - FCA and machine learning, e.g., learning with hypothesis, feature selection - FCA and database theory, e.g., dependencies, rules, data cubes - FCA and software engineering - FCA and morphological mathematics ** Understanding, modelling real-world data and phenomena with FCA - Analysis of "big data" with FCA, e.g., sampling, parallel computing - Analysis of social networks and their dynamics - Applications for scientific data analysis, e.g., in biology or health care - Applications for sensors data and user interactions traces - Other FCA applications * Submission Details We invite scientific publications on theory and applications of Formal Concept Analysis.? Papers of up to sixteen pages may be submitted in the PDF format via the Easychair system ? . Authors are requested to follow the formatting instructions for the Springer LNCS style [1].? Submissions in LaTeX2e are preferred.? Authors are encouraged to provide an ORCID alongside their submission [2]. Accepted papers have to be presented at the conference.? Therefore, at least one author per paper has to register timely. [1]: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines [2]: https://www.springer.com/gp/authors-editors/orcid * Important Dates Submission of abstract: *January 18, 2021* Submission of full paper: *January 25, 2021* Notification of acceptance: March 16, 2021 Camera ready due: April 5, 2021 Conference: June 29 -- July 2, 2021 * Organization The conference will be hosted by Universit? de Strasbourg ** Conference Chairs Florence Le Ber, ICUBE, Universit? de Strasbourg, CNRS, ENGEES, France Agn?s Braud, ICUBE, Universit? de Strasbourg,? CNRS, France ** Program Chairs Aleksey Buzmakov, Higher School of Economics, Russia Tom Hanika, Universit?t Kassel, Germany ** Editorial Board Jaume Baixeries, Polytechnic University of Catalonia, Catalonia Karell Bertet, L3I, Universit? de La Rochelle, France Peggy Cellier, IRISA lab, Rennes, France Sebastien Ferr?, Universit? de Rennes 1, France Bernhard Ganter, Technische Universit?t Dresden, Germany Dmitry Ignatov, Higher School of Economics, Moscow, Russia Mehdi Kaytoue, INSA-Lyon, LIRIS, France Sergei Kuznetsov, Higher School of Economics, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, Higher School of Economics, Moscow, Russia Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenb?ttel, Germany Sebastian Rudolph, Technische Universit?t Dresden, Germany Christian Sacarea, Babes-Bolyai University of Cluj-Napoca, Romania Stefan E. Schmidt, Technische Universit?t Dresden, Germany Bar?? Sertkaya, Frankfurt University of Applied Sciences, Germany Gerd Stumme, Universit?t Kassel, Germany Petko Valtchev, Universit? du Qu?bec ? Montr?al, Canada Karl Erich Wolff, University of Applied Sciences, Darmstadt, Germany ** Program Committee (tentative) Fran?ois Brucker, Centrale Marseille, France Victor Codocedo, Universidad T?cnica Federico Santa Mar?a, Chile Pablo Cordero, University of M?laga, Spain Diana Cristea, Babes-Bolyai University Cluj-Napoca, Romania Christophe Demko, L3I lab, Universit? de La Rochelle, France Jean Diatta, Universit? de la R?union, France Stephan Doerfel, MICROMATA GmbH, Germany Xavier Dolques, ICube, Universit? de Strasbourg, France Alain G?ly, Universit? Paul Verlaine, Metz, France Marianne Huchard, LIRMM, Universit? Montpellier, France Robert J?schke, IBI, Humboldt-Universit?t zu Berlin, Germany Jan Konecny, Palacky University, Olomouc, Czech Republic Michal Krupka, Palacky University, Olomouc, Czech Republic Marzena Kryszkiewicz, Warsaw University of Technology, Poland Wilfried Lex, Universit?t Clausthal, Germany Tatiana Makhalova, Universit? de Lorraine, France Jes?s Medina, Cadiz University, Spain Engelbert Mephu Nguifo, LIMOS, Universit? de Clermont Ferrand 2, France Lhouari Nourine, LIMOS, Universit? de Clermont Ferrand 2, France Jan Outrata, Palacky University of Olomouc, Czech Republic Jean-Marc Petit, LIRIS, INSA Lyon, France Pascal Poncelet, LIRMM, Universit? Montpellier, France Sandor Radeleczki, University of Miskolc, Hungary Henry Soldano, Universit? Paris 13, France Laszlo Szathmary, University of Debrecen, Hungary Andreja Tepav?evi?, University of Novi Sad, Serbia Martin Trnecka, Palacky University, Olomouc, Czech Republic Jean-Fran?ois Viaud, L3I lab, Universit? de La Rochelle, France From O.Inel at tudelft.nl Wed Nov 4 05:52:04 2020 From: O.Inel at tudelft.nl (Oana Inel) Date: Wed, 4 Nov 2020 10:52:04 +0000 Subject: Connectionists: ACM UMAP 2021 - Call for Papers Message-ID: <21335258-09A4-4D1F-B037-E3BB97C4F0A8@tudelft.nl> --- Apologies for cross-posting ? ============================ Call for Papers - ACM UMAP 2021 29th ACM International Conference on User Modeling, Adaptation and Personalization Theme: "Re-Evaluating Evaluation in Personalization Research" Hybrid: Utrecht (The Netherlands) and Online June 21-25th (tentative), 2021 Website: https://www.um.org/umap2021/ ============================ Abstracts due: January 17, 2021 (mandatory) Full paper due: January 24, 2021 ============================ BACKGROUND AND SCOPE: ============================ ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the core Steering Committee, extended with past years? chairs. The proceedings are published by ACM and will be part of the ACM Digital Library. ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This includes a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more. We welcome submissions related to user modeling, personalization and adaptation; the conference web site provides a detailed list. Below we present a short (but not proscriptive) list of topics of importance to the conference. As the theme for UMAP 2021 is ?Re-Evaluating Evaluation? we encourage submissions in all areas that offer a critical analysis of evaluations of personalized systems. We particularly want to acknowledge that some of the research might be influenced by Covid-19 related constraints (e.g., difficulty of running lab studies), and welcome submissions which introduce novel methodologies arising from a need to conduct research in new ways. CONFERENCE TOPICS: ============================ We welcome submissions related to user modeling, personalization and adaptation in any area. The topics listed below are not intended to limit possible contributions. Final decisions will be made on the basis of suitability for, and fit to, the overall conference (not for specific tracks). Additionally, there is no quota for the maximal number of accepted papers per track. Topics include (but are not limited to): ? Personalized Recommender Systems ? Track chairs: Alejandro Bellogin, Sole Pera, Ludovico Boratto ? Adaptive Hypermedia and the Semantic Web ? Track chairs: Maria Bielikova, Panagiotis Germanakos, Ben Steichen ? Intelligent User Interfaces ? Track chairs: Katrien Verbert, Dennis Parra ? Personalized Social Web ? Track chairs: Julita Vassileva, Jie Zhang ? Technology-Enhanced Adaptive Learning ? Track chairs: Ella Haig, Manolis Mavrikis ? Fairness, Transparency, Accountability, and Privacy ? Track chairs: Christine Bauer, Michael Ekstrand ? Personalization for Persuasive and Behavior Change Systems ? Track chairs: Jaap Ham, Rita Orji SUBMISSION AND REVIEW PROCESS ============================ Papers will be submitted through EasyChair: https://easychair.org/conferences/?conf=acmumap2021 Long (8 pages + references) and Short (4 pages + references) papers in ACM style. Original research papers addressing the theory and/or practice of UMAP, and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome. * Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate its innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. * Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies. Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings template: https://www.acm.org/publications/proceedings-template. UMAP uses a double blind review process. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. For instance, citations to the authors' own prior work should be made in the third-person. All accepted papers will be published by ACM and will be available via the ACM Digital Library. To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there. Student registration fee is allowed for students who present a student paper. IMPORTANT DATES ============================ Abstracts: January 17, 2021 (mandatory) Full paper: January 24, 2021 Notification: March 8, 2021 Camera-ready: April 11, 2021 Video submission: May 5th, 2021 Conference: June 21-June 25, 2021 (tentative) Note: The submissions times are 11:59pm AoE time (Anywhere on Earth) ORGANIZERS ============================ General chairs Judith Masthoff, University of Utrecht Eelco Herder, Radboud Universiteit Nijmegen Program chairs Nava Tintarev, University of Maastricht Marko Tkalcic, University of Primorska RELATED EVENTS ============================ Separate calls will be sent for Workshops and Tutorials, Doctoral Consortium, and Demo/Late Breaking Results, as these have different deadlines and submission requirements. -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Wed Nov 4 07:49:38 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Wed, 04 Nov 2020 09:49:38 -0300 Subject: Connectionists: CFP: IUI Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) Message-ID: Fourth IUI Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) https://sites.google.com/view/esida2021/home 13 April 2021, Virtual Important Dates: Submission deadline: December 23, 2020 (midnight Hawaii time) Acceptance notification: January 31, 2021 Final manuscript due: February 15, 2021 Workshop: April 13, 2021 Workshop Description: This workshop will be part of the ACM Intelligent User Interfaces 2021 Conference (http://iui.acm.org/2021/). The workshop focuses on systems that personalize, summarize and visualize the data for supporting interactive information seeking and information discovery, along with tools that enable user modeling and methods for incorporating the user needs and preferences into both analytics and visualization. Our aim is to bring together researchers and practitioners working on different personalization aspects and applications of exploratory search and interactive data analytics. This will allow us to achieve four goals: (1) propose new strategies for systems that need to convey the rationale behind their decisions or inference, and the sequence of steps that lead to speci?c (search) results; (2) develop new user modeling and personalization techniques for exploratory search and interactive data analytics; (3) develop a common set of design principles for this type of systems across platforms, contexts, users and applications; (4) develop a set of evaluation metrics for personalization in exploratory search. The workshop aims to solicit submissions in the following areas of personalized interactive data analytics and exploratory search: Personalized interactive exploration via interactive data analytics: ? personalization aspects in systems for exploratory search. ? cross-domain/ context-aware/ cross-platform exploratory search systems. ? interactively modelling the user?s information needs for high-recall information retrieval. ? new applications of exploratory search and interactive data analytics. Data analytics: ? interactive interfaces for data-intensive platforms. ? interaction degrees of freedom. ? preprocessing vs. online processing. ? interactive data visualization evaluation of interactive systems for exploratory search and data analytics. Metrics for explainable intelligent systems: ? metrics for explainable exploratory search. ? explainability and transparency in expert vs. non-expert systems. ? human-in-the-loop analytics systems. ? ef?cient vs. explainable analytics. ? user perception of explainability and transparency in interactive intelligent systems. Organisers: Dorota Glowacka, Department of Computer Science, University of Helsinki (Finland), glowacka[at]cs.heelsinki.fi Evangelos Milios, Faculty of Computer Science, Dalhousie University (Canada), eem[at]cs.dal.ca Axel J. Soto, Institute for Computer Science and Engineering, UNS - CONICET (Argentina), axel.soto[at]cs.uns.edu.ar Fernando V. Paulovich, Faculty of Computer Science, Dalhousie University (Canada), paulovich[at]dal.ca Denis Parra, Department of Computer Science, Pontificia Universidad Cat?lica (Chile) , dparra[at]ing.puc.cl Osnat (Ossi) Mokryn, Department of Information and Knowledge Management, University of Haifa (Israel), omokryn[at]univ.haifa.ac.il Submission Information: We encourage submissions of work in progress, concept papers, case studies, ongoing research projects, reports on recently completed PhD dissertations or recently accepted journal papers, and generally material that will stimulate discussion, generate useful feedback to the authors, encourage research collaborations and vigorous exchange of ideas on promising research directions, in one of the following formats: -full papers (up to 8 pages in ACM sigconf format), which will presented either as contributed talks or posters -extended abstracts (up to 4 pages in ACM sigconf format), which will be presented as posters with a possibility to be accompanied by a demo. Papers can be submitted through EasyChair: https://easychair.org/conferences/?conf=esida21 From marcin at amu.edu.pl Wed Nov 4 17:00:23 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 4 Nov 2020 23:00:23 +0100 Subject: Connectionists: Call for Papers - ICTAS2021 International IEEE conference-Durban, South Africa EXTENSION to 30 NOV In-Reply-To: <69b5889d-fbfe-6d85-7701-89f04a8e7845@ibspan.waw.pl> References: <69b5889d-fbfe-6d85-7701-89f04a8e7845@ibspan.waw.pl> Message-ID: <6f138f85-9d3f-adf1-0bd5-c76798b4281b@amu.edu.pl> Hello! Since I am somewhat involved in this conference, I am sharing. On the one hand, I am sad that conference will be fully online. On the other, I have no doubt that this was a good decision. I highly recommend this conference, as worthy your attention. Marcin Paprzycki, Ph.D., D.Sc. Senior Member of the IEEE ************************************************************************* Dear Colleagues *The submission date for papers has been extended to 30 NOVEMBER 2020.* *Do take advantage of this great opportunity to showcase the work you have done using ICT especially during the COVID-19 pandemic. We look forward to your submissions.* Our conference will be running again in 2021, please have a look on the website www.ictas.org We would like to request your participation in our fourth annual Conference on Information Communications Technology and Society (ICTAS) to be held in Durban, South Africa on March 10 and 11, 2021. This conference has a *track record of 4 years* and every single paper presented at the past 4 conferences have been published in IEEE Xplore, making them eligible for DHET subsidy. Our conference is technically sponsored by IEEE and financially sponsored by the IEEE South Africa Computer Society. All papers will be double blind reviewed by at least two members of our international technical committee. All accepted and registered papers will be submitted to IEEE for potential inclusion into the IEEE Xplore digital library (ISBN: 978-1-7281-8081-6). Our conference is Scopus indexed and has a growing citation factor. Published papers will be eligible for DHET subsidy. *In the case of travel restrictions relating to the current COVID-19 pandemic, provisions will be made for virtual presentations.* Please feel free to *distribute the attached flyer to as many colleagues as possible*, we welcome all. Regards, ICTAS committee -------------- next part -------------- A non-text attachment was scrubbed... Name: ICTAS Flyer3 Extended date 30 Nov.pdf Type: application/pdf Size: 145400 bytes Desc: not available URL: From cognitivium at sciencebeam.com Thu Nov 5 08:50:08 2020 From: cognitivium at sciencebeam.com (Maryam) Date: Thu, 5 Nov 2020 17:20:08 +0330 Subject: Connectionists: Grant For Equipping Electrophysiology Labs Message-ID: <202011051350.0A5DoCFY026724@scs-mx-01.andrew.cmu.edu> Dear researchers, We are happy to announce that in order to accelerate neuroscience researches, ScienceBeam, a designer and manufacturer of neuroscience applications including EEG/ERP, QEEG, Neuro-Biofeedback and animal electrophysiology systems, is providing limited number of grants (30% - 70%) for equipping the neuroscience/electrophysiology laboratories to any young researcher with a well-defined research proposal.? We particularly want to encourage outstanding candidates to apply for the?ScienceBeam?grant. We are also very keen to invite graduate students, who are towards the end of their Ph.D. and desire to return to their country to promote research in the field of Basic and Clinical Neuroscience.? This Grant is offered for the below equipment: ? Neuro-biofeedback device ? Animal electrophysiology system ? EEG/QEEG/ERP acquisition system Consider the below terms and conditions: ? Researches related to diagnosis and treatment of sensorimotor disorders (Multiple Sclerosis (MS), Alzheimer?s disease, and Parkinson) ? Researches related to diagnosis and treatment of psychological and cognitive disorders. ? Researches related to diagnosis and treatment of mental and nervous rehabilitation. To apply for any above grants please consider the following points: ? Candidates should have a Ph.D. in neuroscience, physiology, pharmacology, psychology, medical engineering, and any related area. ? Interested candidates must send an email request to grant at sciencebeam.com including their resumes and research proposal. ? Candidates should submit a cover letter, a curriculum vitae, a list of publications, and a clear research proposal describing her/his research plan for two next year?s describing why they need our products. ? Young candidates should arrange for two letters of recommendation sent on their behalf to grant at sciencebeam.com ? All materials must be submitted to grant at sciencebeam.com until December 1st, 2020. For more information visit the link below: https://sciencebeam.com/mid-autumn-festival/ And submit your resume and research proposals to: grant at sciencebeam.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Thu Nov 5 17:39:00 2020 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Thu, 5 Nov 2020 23:39:00 +0100 Subject: Connectionists: COSYNE 2021: Abstract submission closes soon; Registration info Message-ID: ==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 24 - 26 February 2021 www.cosyne.org ==================================================== The Cosyne abstract deadline is just one week away! Abstracts are due November 12, 2020 by 11.59pm PST. This year, because of the generous support of donors, we will be able to make registration low- or no-cost for a large number of attendees. Registration will open after final decisions are made on abstracts in January 2021. Registration rates will be $25 for students and postdocs, $100 for all other academics, and $150 for corporate attendees. We will have a fee waiver open for >1000 registrants. We will share additional details as support is finalized in the next few weeks. If you would like help revising your abstract before the deadline, or helping provide feedback to others, please consider joining the Cosyne Mentoring Forum! Rainer Engelken and Stephanie Palmer are organizing a google group to offer positive, constructive critiques of abstracts, along with "pro tips" for conveying the ideas and impact in your work effectively. Please sign up to review abstracts and submit your own for feedback. You can email sepalmer [at] uchicago.edu directly and also join the Cosyne mentoring group. Visit Cosyne.org -> Mailing lists for details on how to join the group. ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. Cosyne 2021 will take place online, February 24 - 26, 2021. The goal of this year's meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks chosen from submitted abstracts, and interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- COSYNE 2021 TUTORIAL ---------------------------------------------------- Cosyne 2021 main meeting will be preceded by an online Cosyne Tutorial Session led by Kanaka Rajan (Icahn School of Medicine at Mount Sinai) on 23 February 2021. More details will be posted on www.cosyne.org. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Tutorial Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) PROGRAM COMMITTEE Athena Akrami (UCL) Demba Ba (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Christine Constantinople (NYU) Saskia De Vries (Allen Institute) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Annegret Falkner (Princeton) Kevin Franks (Duke) Tim Hanks (UC Davis) Ann Hermundstad (Janelia) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Cris Niell (U Oregon) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montreal) Kanaka Rajan (Icahn School of Medicine at Mount Sinai) Robert Rosenbaum (Notre Dame) Christina Savin (NYU) Marshal Shuler (Johns Hopkins) Daniela Vallentin (Max Planck Munich) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From auke.ijspeert at epfl.ch Thu Nov 5 16:02:26 2020 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Thu, 5 Nov 2020 22:02:26 +0100 Subject: Connectionists: PhD and postdoc position in quadruped robotics and machine learning at EPFL, Lausanne Switzerland Message-ID: The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ ) at EPFL (Lausanne, Switzerland) has one open *PhD student* and one *postdoc position* in *quadruped robotics and machine learning*.? The project is at the intersection between robotics, machine learning, and computational neuroscience. Its goal is is to develop a computational architecture that (i) merges spinal-cord-like dynamics with higher-level planning and learning, (ii) allows testing hypotheses about animal motor control at a conceptual level, and (iii) can serve as basis for controlling, planning, and learning rich motor skills in robots. The architecture will be evaluated with a scenario that involves control and learning in a quadruped robot crossing a (simple) parkour. The positions are fully funded for 4 years through a grant from the Swiss National Science Foundation. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ *The ideal starting date is early 2021* (with some flexibility). Applications will be considered starting *from November 15 2020*, and then continuously until the positions are filled. Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Fri Nov 6 08:53:04 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Fri, 6 Nov 2020 13:53:04 +0000 Subject: Connectionists: Call for Participation - The Academic Fringe Festival Message-ID: <2AFEDCD2-1184-4610-A538-3030A829EF74@tudelft.nl> The Academic Fringe Festival (TAFF) First edition on *Crowd Computing & Human-Centered AI* --- Apologies for cross-posting ? Website: https://www.academicfringe.org/ * The Academic Fringe Festival is free of cost and open to everyone who is interested to participate. Let there be light! * ABOUT TAFF: ============================ The Academic Fringe Festival is an exciting concoction of invited talks and panel discussions around important themes of research and innovation in Computer Science. The series features prominent researchers and practitioners, whose work has made fundamental contributions in these fields. Calling this collection of academic events "The Academic Fringe Festival" is an ode to the story of the eight theatre companies which turned up uninvited at the Edinburgh International Festival in 1947 and performed on the fringe of the event. Over the years, such acts gained popularity and gradually snowballed into what is now the world's largest arts festival, the "Edinburgh Fringe Festival". Our aim is not to create the world's largest academic festival, but to create a forum for open, accessible, and inspiring dissemination of knowledge from renowned scientists across the globe. This first edition is on "Crowd Computing and Human-Centered AI". The unprecedented rise in the adoption of artificial intelligence techniques in many contexts is concomitant with shortcomings of such technology with respect to robustness, interpretability, usability, and trustworthiness. Crowd computing offers a viable means to engage a large number of human participants in data-related tasks and in user studies. In the context of overcoming the computational and interactional challenges facing the current generation of AI systems, recent work has shown how crowd computing can be leveraged to either debug noisy training data in machine learning systems, understand which machine learning models are more congruent to human understanding in particular tasks, or to advance our understanding of how AI systems can influence human behavior. INVITED SPEAKERS: ============================ - Matthew Lease, University of Texas at Austin / Amazon, 23 Nov 2020, 16:00 (CET) - Gianluca Demartini, University of Queensland, 30 Nov 2020, 09:00 (CET) - Mihaela Vorvoreanu, Microsoft, 7 Dec 2020, 16:00 (CET) - Shamsi Iqbal, Microsoft, 14 Dec 2020, 16:00 (CET) - Edith Law, University of Waterloo, 22 Feb 2021, 16:00 (CET) - More speakers coming soon... REGISTRATION: ============================ Online registration is available now! There will be NO registration fees. Please use the following link to register: https://www.academicfringe.org/registration. ORGANIZERS: ============================ ? Ujwal Gadiraju, General Chair ? Jie Yang, General Chair ? Oana Inel, Local Chair ? Sihang Qiu, Local Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From lorenzr at cbs.mpg.de Fri Nov 6 10:14:03 2020 From: lorenzr at cbs.mpg.de (Romy Lorenz) Date: Fri, 06 Nov 2020 16:14:03 +0100 Subject: Connectionists: Postdoctoral Position in Advanced MRI Acquisition Methods Message-ID: On behalf of Prof. Nik Weiskopf: Postdoctoral Position in Advanced MRI Acquisition Methods The Dept. of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig (Germany) invites applications for a Postdoc Position in Advanced MRI Acquisition Methods. Our vision is to develop and apply microstructure imaging and in-vivo histology using MRI. To resolve the subtle microanatomy and its changes in health and disease, unprecedented spatial resolution, minimal artifact levels and high tissue specificity of the imaging are essential. The postdoc will develop MRI pulse sequences on the latest Siemens 7T Terra and 3T Connectom platforms and integrate them with advanced image reconstruction methods (e.g. BART, Gadgetron). In particular, the successful candidate will work on exciting projects related to one or more of the following: non-Cartesian trajectories, pTx, parallel imaging, balanced steady-state sequences, MR fingerprinting and correction of artifacts using optical motion tracking and field cameras. The ideal candidate must have a strong background in MR physics and pulse sequence programming (ideally IDEA VE), and hold a PhD in physics, biomedical engineering, computer science or a comparable subject. Strong programming skills in C++ are essential and in other high-level languages (e.g. Matlab, Python) and CUDA/OpenCL highly desired. Additional experience in image reconstruction (e.g., ICE, BART) or SPM/FreeSurfer/FSL or similar MRI data processing is highly desired. A proven record of participating in open-source or other larger-scale software projects is highly advantageous. Applicants should demonstrate a consistently outstanding academic record including publications, and be highly proficient in spoken and written English. We offer: ? the possibility to conduct truly fundamental research to change the field of neuroimaging, ? an international, friendly and highly supportive interdisciplinary environment (working language English), ? the chance to work with top researchers (inc. experienced IDEA programmers) from diverse backgrounds in an internationally leading neuroimaging center within the renowned Max Planck Society, ? access to world-leading facilities, including a 7T Terra MRI scanner (64-ch Rx, 16-ch Tx), 3T Connectom scanner (300 mT/m gradients) and numerous other 3T scanners, all dedicated to fundamental research with ample scan time, excellent technical support (inc. Siemens collaboration scientist), and the latest peripherals (Skope field camera system, Kineticor PMC). The preferred starting date is immediate but negotiable. The duration of the post is 2 years in the first instance. Remuneration is based on the pay scale of the Max Planck Society. Female and international applicants are particularly encouraged to apply. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. To apply, please submit a single PDF file containing a full CV (inc. publication list), personal statement (describing your personal qualifications, research interests and motivation for applying), strong evidence for advanced software development experience (active Github/Gitlab profile or similar), two of your key publications, contact information of three referees and academic certificates (PhD, Diploma/Master, Bachelor certificates). Please submit your application via our online system at http://www.cbs.mpg.de/vacancies(subject heading: ?PD 10/20?). The closing date for applications is 29th November 2020. Interviews of shortlisted candidates will take place likely via video conference between 7th and 11th December. Further information: For more details about our work go to https://www.cbs.mpg.de/departments/neurophysics. Leipzig is a vibrant city that has been called ?Germany?s new cultural hot spot? by the Guardian and listed as one of the 52 places to go in 2020 by the New York Times. It has a long-standing history of classical music, academic education, and, more recently, modern arts. With its many parks, forests, canals and lakes, Leipzig is a perfect place for recreation, sports, and leisure time. It is located a one hour train ride south of Berlin. If you have any questions, please contact Nik Weiskopf at weiskopf at cbs.mpg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From markus.butz-ostendorf at biomax.com Fri Nov 6 11:26:19 2020 From: markus.butz-ostendorf at biomax.com (Markus Butz-Ostendorf) Date: Fri, 6 Nov 2020 17:26:19 +0100 Subject: Connectionists: Online Seminar: How the Connectome is changed by brain tumors and heals after tumor surgery In-Reply-To: <76ed2081-8d59-d230-afcc-250505935c02@biomax.com> References: <76ed2081-8d59-d230-afcc-250505935c02@biomax.com> Message-ID: <87b07b9c-2710-b597-941d-dc374ed3bcea@biomax.com> Dear List, My apologies for cross-postings first of all! I would like to draw your attention to our second online seminar on Connectomics. We have invited our clinical neuroimaging specialist Dr Yong Li from Biomax Brain Science to demonstrate how brain tumors change the human Connectome and how the Connectome heals after tumor surgery. Abstract at the end of this message. The seminar takes place online on Tue, 10 Nov 2020 at 3pm (CET). Participation is free of charge but registration is kindly requested via this link https://www.biomax.com/webinar Explore NICARA yourself by registering a free demo account at https://ssl.biomax.de/nicara/ Kind regards, Markus == *Abstract* Brain damage such as tumors, traumatic brain injury or stroke alter the characteristics of the broader connectome?the map of all neural connections in the brain. A hot topic in ongoing research using the connectome approach is how brain rewiring can compensate for lesion-induced cognitive deficits before and after intervention. The site of a lesion within the connectome is critical. Damage of a node that acts e.g. as an integrator hub of several subnetworks is significantly more detrimental to cognitive functions than a damaged node with low connectivity or existing by-passes. Understanding brain rewiring in response to lesions is the major focus of clinical as well as computational neuroscience projects (such as The Virtual Brain) to pave the way for personalized medicine in neurology and related fields. In this online seminar we will focus on brain tumors and explore their effects on the connectome using NICARA?. A particular image processing pipeline in NICARA, employing the best available open-source tools for image preprocessing and probabilistic fiber tracking, enabled us to automatically extract full brain tractography based structural connectome data from DTI raw images. Besides the pipeline, we will discuss quality control mechanisms especially designed for the assessment of large cohorts. As an example, data set we used the Brain Tumor Connectomics Data (Aerts H et al. Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain. eNeuro. 2018 Jun 4;5(3): ENEURO.0083-18.2018.) and assessed alterations in major white matter fiber tracts before and after surgery. For quantification, provided not only the abstract presentation of digitalized connectome networks in MNI space by a 3D lattice graphs but also offered fiber density maps directly in the patient?s native T1w for a precise judgement of fiber pathway density distribution in the vicinity of, and remote to, a tumor. Our clinical neuroimaging specialist Dr. Yong Li will further show how he uses NICARA to explore, manage and compare extracted connectome networks for group comparisons, individual patient-matched controls comparisons and longitudinal assessments. NICARA is a novel neuroimaging tool created by clinical neuroimaging scientists for clinical and translational neuroscience users. A technical introduction by product manager Dr. Markus Butz-Ostendorf at the end of the seminar on how NICARA stores and retrieves connectome information using of knowledge models will complement the scientific presentation. The seminar will take place on November 10, 2020 at 3:00 p.m. (CET) and will last about 45 minutes. Make use of this opportunity and register today at www.biomax.com/webinar. Next seminar for Pharmacologists?: 1/12/2020, 3:00 pm ??? ? To register, please go to https://www.biomax.com/webinar and request your access data via the webinar page. We are looking forward to meeting you. -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht M?nchen, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email:markus.butz-ostendorf at biomax.com Website:http://www.biomax.com PGP:https://ssl.biomax.de/pgp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4247 bytes Desc: S/MIME Cryptographic Signature URL: From sylee at kaist.ac.kr Fri Nov 6 23:17:03 2020 From: sylee at kaist.ac.kr (=?UTF-8?B?U29vLVlvdW5nIExlZQ==?=) Date: Sat, 7 Nov 2020 13:17:03 +0900 (KST) Subject: Connectionists: =?utf-8?q?FW=3A_Multimodal_Emotion_Recognition_Co?= =?utf-8?q?mpetition_2020_=28MERC_2020=29?= Message-ID: <5fa620823f9c_@_imoxion.com> Dear Connectionists,I would like to inform you ofMultimodal Emotion Recognition Competition 2020 (MERC 2020),which is unique to?combine video, audio, and speech text data for emotion recognition.This competition aims at developing the state-of-the-art models for emotion recognition from human-labelled facial videos.In each video, a Korean actor shows facial and vocal expressions of a targeted emotion while speaking a given script.All these emotion labels are tagged by human evaluators.The participants are expected to submit their?multimodal integration recognition results?for the test dataset.To provide fair condition, the dialogue texts are converted into embedding vectors andNO KNOWLEDGE ON SPECIFIC LANGUAGE IS REQUIRED!Please visit the EVAL.AI webpage for more information athttps://eval.ai/web/challenges/challenge-page/692/phasesOrganized by:?KAIST Institute of AI?Ends on:?Nov 24, 2020 8:59:59 AM.??best regards,Dr. Soo-Young Lee,PI, Korean Flagship AI Project on Emotional Conversational AgentsProfessor Emeritus, School of Electrical Engineering / Institute for Artificial IntelligenceKorea Advanced Institute of Science and Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From sylvia.schroeder at ucl.ac.uk Sat Nov 7 11:34:31 2020 From: sylvia.schroeder at ucl.ac.uk (=?UTF-8?Q?Sylvia_Schr=c3=b6der?=) Date: Sat, 7 Nov 2020 16:34:31 +0000 Subject: Connectionists: Phd project in Brighton, UK, within SoCoBio's 4-year doctoral training program Message-ID: <1408544e-a8c4-1eb0-5189-6e264a8a401d@ucl.ac.uk> Within SoCoBio?s 4-year doctoral training program , the labs of Sylvia Schr?de r and Leon Lagnado are offering the following Phd project in collaboration with their industrial partner, Scientifica : *?Integration of visual and behavioural signals in the early visual system?* In this project, you will discover how *retinal, cortical and neuromodulatory inputs shape the responses of visual neurons* in the superior colliculus. The goal of your Phd project is to understand the *mechanisms of signal integration*, i.e. which inputs to the superior colliculus shape its neural activity, and the *advantages of this integration for visual processing*. You will use *two-photon imaging*in awake mice to simultaneously record activity of neurons in the superior colliculus as well as of axons originating in the retina, visual cortex, or brainstem nuclei such as the dorsal raphe (serotonin). You will compare the responses of the axonal inputs to those in the neurons, and you will observe how these signals change depending on the visual input and the behaviour of the animal. In the beginning of your project, you will *develop an advanced imaging technique in collaboration with our industrial partner, **Scientifica*. You will adapt the existing two-photon microscope to image two separate fields of view simultaneously.This technique, termed multi-region imaging, will enable you torecord inputs and outputs of superior colliculus at sufficient detail, speed, and quantity. Application to the program: https://southcoastbiosciencesdtp.ac.uk/ Project description: https://southcoastbiosciencesdtp.ac.uk/project/integration-of-visual-and-modulatory-inputs-in-the-early-visual-system/ For further information, contact sylvia.schroeder at ucl.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Fri Nov 6 12:43:33 2020 From: mtanveer at iiti.ac.in (M Tanveer) Date: Fri, 6 Nov 2020 23:13:33 +0530 Subject: Connectionists: IEEE CIS Summer School 2020 - Deadline for Registration: November 15, 2020 Message-ID: --- Apologies for cross-posting ? We are delighted to inform you that IIT Indore is organizing a 4 days IEEE Computational Intelligence Society (CIS) Summer School (*ONLINE MODE*) on "Emerging Research Trends in Computational Intelligence ? Theory and Applications" during November 26-29, 2020. Details of the summer school are available at http://events.iiti.ac.in/ieee-cis-summer-school/. The objective of this summer school is to provide a platform for young researchers and Ph.D. students to learn the recent developments in computational intelligence methods and their applications in diverse areas. It will be featured by keynote/plenary/invited speeches in the theme of the summer school. We hereby request you to attend the IEEE CIS Summer School and give wide publicity to among your colleagues/research scholars and PG students and encourage them to participate in this program and get benefited. Kindly note the following important deadlines: *Early Bird Registration: November 06-15, 2020Late Registration: November 16-22, 2020Opening Ceremony: November 26, 2020Closing Ceremony: November 29, 2020* Some of the speakers are: P.N. Suganthan, IEEE Fellow Hisao Ishibuchi, IEEE Fellow Kenji Doya, IEEE Fellow ZHANG Qingfu, IEEE Fellow Complete list of speakers are available at http://events.iiti.ac.in/ieee-cis-summer-school/main/speaker. You are requested to register as early as possible due to the limited number of seats. Thanks and regards, General Chair ? IEEE CIS Summer School 2020 ---------------------------------------------------------- Dr. M. Tanveer Associate Professor and Ramanujan Fellow Discipline of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbjerva at cs.aau.dk Mon Nov 9 06:51:40 2020 From: jbjerva at cs.aau.dk (Johannes Bjerva) Date: Mon, 9 Nov 2020 11:51:40 +0000 Subject: Connectionists: Postdoctoral Fellowship (NLP, up to 2 years, Copenhagen, Denmark) Message-ID: <94a9bb6bdd084620923cbdf7310f04d1@cs.aau.dk> We are looking for a postdoc in Natural Language Processing and Information Processing for Sustainability assessment. A position is available at the Center for Data-intensive Systems (Daisy), Department of Computer Science at Aalborg University (AAU), Denmark. The position is available immediately with a flexible starting date within the next couple of months. The postdoc position is initially for one year, with the possibility of extension for up to 2 years based on mutual agreement. The topic is embedded within the context of the DREAMS project. Its overall goal is to promote progress on Sustainable Development Goals (SDGs) by digitally transforming the way society accesses and communicates information about environmental impacts of projects and plans in order to enable the best decisions towards green transition in a transparent and inclusive democratic process. In this context, the postdoc is expected to work on tasks, such as extracting, integrating, organizing, querying, and exploiting knowledge contained in sustainability reports and other data sources. Employment: The annual salary is approximately DKK 450.000 (ca. EUR 60,000), inclusive of pension contributions and pre taxes. For foreign researchers who qualify for the tax scheme for foreign researchers (PhD degree required), the annual salary inclusive of pension contributions and after taxes is approximately DKK 300,000 (ca. EUR 40,000). The indication of interest should contain: * cover letter with motivation and preferred starting date * CV including a list of publications * copies of up to five relevant publications (mainly for postdoc level) * copies of certificates and grade sheets for all obtained degrees (English) * contact information of at least two references Location: Depending on the qualifications of the candidates, the work place will either be our campus in Aalborg or Copenhagen. Contact: For details regarding the topics, please contact Katja Hose (khose at cs.aau.dk} and/or Johannes Bjerva (jbjerva at cs.aau.dk). Procedure: The material should be sent as a single PDF to Katja Hose (khose at cs.aau.dk) and Johannes Bjerva (jbjerva at cs.aau.dk). Evaluation will start immediately and continue until the position is filled. For more information, please see: http://people.cs.aau.dk/~khose/Vacancy_DREAMS.html Kind regards, Johannes Bjerva Assistant Professor (tenure-track) Department of Computer Science Aalborg University Copenhagen -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Mon Nov 9 06:20:53 2020 From: massimo.srt at gmail.com (Massimo Sartori) Date: Mon, 9 Nov 2020 12:20:53 +0100 Subject: Connectionists: [jobs] Postdoc in computational modelling of muscle adaptation post stroke for wearable robots (University of Twente) Message-ID: The Neuro-Mechanical Modeling and Engineering Lab is seeking for a distinguished post-doctoral fellow to work within the ERC project INTERACT. You will join an international team working on a high-gain/high-risk project at the frontiers of neurophysiology, biomechanics and robotics, i.e. also see http://bit.ly/NMLTube. *The opening* You will: - create radically new computational models to predict how muscles change their biological structure in response to neurological injuries and robot-assisted training. - design and conduct multi-week experiments on healthy and post-stroke individuals to induce targeted muscle adaptation, i.e. muscle lengthening, strengthening. - record and analyse, on a week-by-week basis, neuromuscular data: high-density electromyography, ultrasonography, magnetic resonance imaging, fluorodeoxyglucose. - Translate muscle adaptation models into wearable rehabilitation technologies. Your work will be facilitated by in-house expertise and mentorship. You will collaborate with top-scientists on aspects including muscle-on-a-chip and statistical modelling, giving large opportunity to perform impactful research! *We **offer* a high-reaching full-time 3-year positions with a generous allowance as well as extraordinary research facilities and working environment. Please, apply exclusively via the link below no later than *November 30th, 2020*: - https://bit.ly/pdut *ERC project INTERACT* aims to develop predictive models of the neuromuscular system to establish new closed-loop control methods for robotics-based neuro-rehabilitation. With a focus on spinal cord electrical stimulation and robotic exoskeletons, we will demonstrate how motor dysfunction is repaired by robotically inducing optimal changes in neuromuscular targets. *European Research Council (ERC)*'s mission is to encourage the highest quality research in Europe through competitive funding and to support the best of the best in Europe's frontiers research (https://erc.europa.eu) *The University of Twente.* We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. We have a strong focus on personal development and researchers are given scope for carrying out groundbreaking science (https://www.utwente.nl/en). --- Massimo Sartori, Ph.D. Associate Professor Director of Neuromechanical Modeling & Engineering Lab University of Twente TechMed Centre Department of Biomechanical Engineering 7500 AE, The Netherlands Personal Website: https://people.utwente.nl/m.sartori Lab Website: https://bit.ly/NMLab Lab YouTube Channel: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiaochun.cheng at gmail.com Mon Nov 9 08:23:02 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Mon, 9 Nov 2020 13:23:02 -0000 Subject: Connectionists: The16th International Conference on Computer Science and Education Message-ID: <00dd01d6b69b$74a9cec0$5dfd6c40$@gmail.com> The16th International Conference on Computer Science and Education (ICCSE 2021) will be held at Lancaster University, UK from August 17th to 21st, 2021. The conference website is online at http://www.ieee-iccse.org The paper submission deadline is April 15, 2021. The theme of the ICCSE 2021 is Digital Twin Computing & Education. We are now collecting proposals for invited sessions, with a deadline of November 30th, 2020. Please share with your network to encourage colleagues who are interested in to organize an invited session as a session chair. We are aiming to organize 8-10 invited sessions, each has at least 8 registered papers (at least 4-6 presented at the conference). The session chair will: 1. Be awarded a certificate for the work; 2. Organize the review of the submitted papers; 3. Have the priority to obtain the invitation letters for visa application; 4. Recommend one accepted paper to the special issues of Journals; 5. Chair the session at the conference. [ ** Apologies for cross postings **] -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Mon Nov 9 20:56:34 2020 From: blextar at gmail.com (Luca Rossi) Date: Tue, 10 Nov 2020 09:56:34 +0800 Subject: Connectionists: CFP S+SSPR 2020 [Deadline approaching] Message-ID: Dear all, This is a reminder that the submission deadline for S+SSPR 2020 (15 November) is now approaching. This is a firm deadline. Note that due to the ongoing covid-19 pandemic this edition of S+SSPR will be ONLINE and FREE. Accepted papers will be published in Springer?s Lecture Notes in Computer Science (LNCS) series. The plain text CFP is listed below and for further information visit https://www.dais.unive.it/sspr2020/ Looking forward to your submissions, S+SSPR organising committee === CALL FOR PAPERS IAPR Joint International Workshops on 13th Statistical Techniques in Pattern Recognition (SPR) 18th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 19-22 January 2021, Online event Paper submission deadline: 15 November 2020 (FIRM DEADLINE) S+SSPR 2020 is a joint event organised by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Following the trend of previous editions, S+SSPR 2020 will be held in close proximity to the International Conference on Pattern Recognition (ICPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. Accepted papers will be published in Springer?s Lecture Notes in Computer Science (LNCS) series. For details see: http://www.dais.unive.it/sspr2020/ -- Luca Rossi Lecturer in Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Nov 10 03:03:28 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 10 Nov 2020 10:03:28 +0200 Subject: Connectionists: Last call for early registration: Fall Short e-course on Drone Vision and Deep Learning, 18-19th November 2020 Message-ID: <028a01d6b737$f9b6cf40$ed246dc0$@csd.auth.gr> Dear Drone engineers, scientists and enthusiasts, you are welcomed to register in this Fall Short e-course on Drone (UAV) Vision and Deep Learning with focus on drone vision/perception, imaging, surveillance, infrastructure inspection, media production and cinematography. It will take place on 18-19th November 2020 as an e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your CVML knowledge before/after the course by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your CVML programming skills. The short e-course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures (8 hours) provide an in-depth presentation to drone systems, mission planning/control and imaging. First, an introduction to multiple drone systems is presented. Then, drone mission planning and control is overviewed, to be complemented by a lecture on drone mission simulations. After reviewing image acquisition, camera geometry (mapping the 3D world on a 2D image plane) and camera calibration, stereo and multi-view imaging systems are presented for recovering 3D world geometry from 2D images. This is complemented by Structure from Motion (SfM) towards Simultaneous Localization and Mapping (SLAM) for vehicle and/or target localization and visual object tracking and 3D localization. Finally, drone communications are overviewed, focusing on drone2ground multiple drone LTE communications, notably on multiple source video compression and streaming. Part B lectures (8 hours) provide first an in-depth presentation of drone computational cinematography that are useful in many applications, besides media production. Then, an introduction to neural networks, provides rigorous formulation of the optimization problems for their training, starting with Perceptron. It continues with Multilayer perceptron training through Backpropagation, presenting many related problems, such as over-/under-fitting and generalization. Deep neural networks, notably Convolutional NNs are the core of this domain nowadays and they are overviewed in great detail. Their application on deep learning for object detection is well presented, as it is a very important issue as well, complemented with a presentation of deep semantic image segmentation. As embedded computing is such an important issue, CVML software development tools and their use in drone imaging is overviewed. This part is concluded with an extremely important drone imaging application, notably, UAV infrastructure inspection. You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-for-autonomous-systems/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 31600+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Course description ?Deep Learning and Computer Vision for Autonomous Systems: Focus on drone vision, imaging, surveillance and cinematography? Part A (8 hours) 1. Introduction to multiple drone systems 2. Drone mission planning and control 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Localization and mapping 6. Object tracking and 3D localization 7. Drone communications 8. Drone mission simulations Part B (8 hours) 1. Drone cinematography 2. Introduction to neural networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Deep learning for object/target detection 6. Deep Semantic Image Segmentation 7. CVML software development tools 8. UAV infrastructure inspection Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From toussaint at tu-berlin.de Tue Nov 10 03:24:42 2020 From: toussaint at tu-berlin.de (Marc Toussaint) Date: Tue, 10 Nov 2020 09:24:42 +0100 Subject: Connectionists: 2 PhD positions in Robotics & AI @ TU Berlin -- deadline Nov 20 Message-ID: <2de1e427-85e6-56e8-7b35-5668079dd927@tu-berlin.de> *2 PhD-Positions @ TU Berlin, Learning & Intelligent Systems Lab* *Application deadline: Nov 20, 2020* The new Intelligent Systems Department @ TU Berlin, headed by Marc Toussaint, bridges between research in AI planning, machine learning, and robotics. In our view, a key in understanding and creating intelligence is the interplay of learning and reasoning, where learning becomes the enabler for strongly generalizing reasoning and acting in our physical world. We are part of the Science of Intelligence Excellence Cluster, in the context of which we have 2 open PhD positions for the following projects. Please note the tight application deadline, *Nov 20th*! *Position 1* Doctoral researcher Project: 'Algorithms vs humans: physical problem solving' Supervisor: Marc Toussaint Project Co-PIs: Thorsten Pachur, Josh Tenenbaum, Oliver Brock Description: https://www.scienceofintelligence.de/call-for-applications/open-positions/ref-scioi-c3-30a/ Application procedure: http://www.scienceofintelligence.de/jobs *Position 2* Doctoral researcher Project: 'Physical manipulation planning with differentiable closed-loop manipulation primitives' Supervisor: Marc Toussaint Description: https://www.scienceofintelligence.de/call-for-applications/open-positions/scioi-c3-39/ Application procedure: http://www.scienceofintelligence.de/jobs The application process is lead by the Science of Intelligence cluster, where all applications are centrally collected and reviewed by cluster members. Applicants should be highly motivated to join the Science of Intelligence agenda, bridging between disciplines to better understand fundamental principles of intelligent systems. You should be highly skilled in AI & robotics methods, including both reasoning/planning/optimization and learning methods. Please contact me if you have any further questions. Best, Marc -- Marc Toussaint https://www.user.tu-berlin.de/mtoussai/ From eero at cns.nyu.edu Tue Nov 10 23:51:48 2020 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Tue, 10 Nov 2020 23:51:48 -0500 (EST) Subject: Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU Message-ID: <202011110451.0AB4pmU10277@calaf.cns.nyu.edu> New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 4 January) [http://math.nyu.edu/degree/phd/] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Data Science (deadline: 12 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Physics (deadline: 18 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision. From li.zhaoping at tuebingen.mpg.de Wed Nov 11 02:38:09 2020 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Wed, 11 Nov 2020 08:38:09 +0100 Subject: Connectionists: Postdoc and Ph.D. positions in human psychophysics and neuroimaging in Zhaoping Lab in Tuebingen Germany Message-ID: We have a couple of positions available now. Possible projects include, but are not limited to, visual attention (e.g., in visual search or object recognition experiments), visual recognition/discrimination (e.g., in color vision, stereo/dichoptic vision, illusions in central and/or peripheral vision), and visual adaptation. We use a variety of techniques including eye tracking, fMRI, EEG, and other psychology and neuroimaging methods. Details on the postdoc position: https://webdav.tuebingen.mpg.de/agzl/data/Postdoc_Psychophysics_July_2020.pdf Details on the? Ph.D. position: https://webdav.tuebingen.mpg.de/agzl/data/PhD_Psychophysics_July_2020.pdf Our lab has an interdisciplinary team combining computational and experimental methods, each team member does not need to master all disciplines of methods but our environment enables and encourages learning and collaboration between team members.? More information of the lab's research is available at www.lizhaoping.org -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org From Tom.Hanika at cs.uni-kassel.de Wed Nov 11 05:45:00 2020 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Wed, 11 Nov 2020 11:45:00 +0100 Subject: Connectionists: [ICFCA 2021] Call for Workshops and Tutorials Message-ID: <90f258b4-ae5c-868f-65f2-6e0ed6e02ff3@cs.uni-kassel.de> ================================================================================ ?ICFCA 2021 ?16th International Conference on Formal Concept Analysis ?June 29 -- July 2, 2021, Strasbourg, France ?Web: ?Mail: icfca2021 at sciencesconf.org ================================================================================ * Call for Workshops and Tutorials The ICFCA?21 Organizing Committee invites proposals for workshops/tutorials to be held on the first day of the conference *(June 29, 2021)*, which will take place in Strasbourg, France. We invite proposals for both *full- and half-day workshops/tutorial* in current and emerging topics in (or related to) Formal Concept Analysis. Starting from ICFCA'2017 the workshop and tutorials provide an opportunity to discuss novel topics in an interactive atmosphere. They can concentrate in-depth on research topics, but can also be devoted to application issues. * Duration & format We welcome both full- and half-day workshop/tutorial proposals. We would like to encourage proposers to aim for a program that is both varied and interesting. For workshops, especially where the format is concerned, we would like you to think about ways of going beyond the usual list of presentations of accepted papers. Another way of extending the usual format is to include a specific challenge problem that can be addressed by the workshop participants, with a dedicated challenge session in the workshop program. Note, however, that the challenge should be only one of the components of the workshop, targeting a problem which is specific to the workshop topic(s). * Combined Tutorial & Workshop Especially for a relatively novel but rapidly maturing topic, giving an introduction of the state-of-the-art may go beyond the scope of an invited presentation. In this case, a half day tutorial followed by a half day workshop could be a good format. * Guidelines for proposals When proposing a workshop or a tutorial, please provide (at least) the following information: * A brief description of ??? * the specific issues that will be addressed, ??? * the reasons why the workshop/tutorial is of interest in these times, ??? * the main research areas involved, ??? * and what the workshop/tutorial will add to the conference (e.g., do you expect papers of a theme that would not fit the main conference?). * For workshops, ??? * a draft of the Call for Papers, including information on accepted formats (e.g., regular papers, extended abstracts, oral-only presentations of relevant recently published or submitted contributions, etc.) ??? * and expected format of the workshop (e.g., invited talks, presentations, poster sessions, panel discussions, challenge sessions, or other ideas for ensuring an interactive atmosphere). ??? * In the case of a combined tutorial-workshop, please clearly indicate the format. * Any special requirements regarding logistics (e.g., poster stands, audio equipment), if applicable. * Submission For applying or if you have any questions, please do not hesitate to [[mailto:icfca2021 at easychair.org][contact the Program Chairs]] (Aleksey Buzmakov, Tom Hanika). We are looking forward to your proposals . _Tutorial/Workshop proposal deadline:_ *Tuesday, Febrary 2, 2021* From zk240 at cam.ac.uk Wed Nov 11 19:38:25 2020 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Thu, 12 Nov 2020 00:38:25 +0000 Subject: Connectionists: post-doctoral positions in Computational Ultra high-field Neuroimaging Message-ID: <035D8CF1-B667-4609-9154-534CFB953C7B@cam.ac.uk> 2 x post-doctoral positions in Computational Ultra high-field Neuroimaging at the University of Cambridge, UK. Opportunity to work with our cross-disciplinary team (https://www.abg.psychol.cam.ac.uk) on computational Neuroimaging combining multimodal ultra high-field imaging (fMRI, MR Spectroscopy) and computational modelling to understand adaptive brain circuits for learning and plasticity. For details and to apply online see: http://www.jobs.cam.ac.uk/job/27481/ https://www.abg.psychol.cam.ac.uk For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk ) with CV and brief statement of background skills and research interests. -------------- next part -------------- An HTML attachment was scrubbed... URL: From snooles at gmail.com Wed Nov 11 20:48:33 2020 From: snooles at gmail.com (Gilles Vanwalleghem) Date: Thu, 12 Nov 2020 11:48:33 +1000 Subject: Connectionists: 4 post-doc positions in neuroscience or optical physics @ University of Queensland Message-ID: The Collaborative Program in Sensory Networks seeks four (4) Postdoctoral Research Fellow/ Research Fellows for projects spanning optical physics and neuroscience. Our program, spanning the labs of Professor Danielle Bassett (Dept. of Bioengineering, University of Pennsylvania), Professor Halina Rubinsztein-Dunlop (School of Maths and Physics, University of Queensland), and A. Prof. Ethan Scott (Queensland Brain Institute, University of Queensland), seeks to understand the local circuits and brain-wide networks that mediate sensory processing and integration in the zebrafish model system. This involves the design and construction of custom light-sheet microscopes, whole-brain calcium imaging at cellular resolution, and light sculpting for targeted optogenetic manipulations in vivo. For more information, please visit our group website . *Our Ideal Candidate* A PhD in engineering, physics, neuroscience, mathematics, or relevant related fields in addition to expertise and a strong track record in optical physics/engineering, neuroscience, calcium imaging, image analysis, or the mathematical modelling of complex systems, is essential to the role. A strong desire to develop new ideas and research directions, aimed towards making high-impact findings and developing a research career will see you excel in this role. Our ideal candidate will also possess excellent verbal and written communication skills, and the ability to work both independently and collaboratively. Experience with coding in Matlab, Python, or other related languages would be desirable. We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment at uq.edu.au. More info on: https://search.careers.uq.edu.au/caw/en/job/511700/postdoctoral-research-fellow-research-fellow-multiple-positions-available -------------- next part -------------- An HTML attachment was scrubbed... URL: From amanda.louise.jacob at emory.edu Wed Nov 11 10:02:38 2020 From: amanda.louise.jacob at emory.edu (Jacob, Amanda L.) Date: Wed, 11 Nov 2020 15:02:38 +0000 Subject: Connectionists: Reminder: Simons-Emory Workshop on Neural Dynamics on December 4th In-Reply-To: References: Message-ID: Dear all, Just a reminder that registration is now open for the Simons-Emory Workshop on Neural Dynamics, which will livestream on Friday, December 4th from 11am-2pm EST. "What could neural dynamics have to say about neural computation, and do we know how to listen?" Please go here to register [1]. Speakers will deliver focused 10-minute talks, with periods reserved for broader discussion on topics at the intersection of neural dynamics and computation. The website for the event is here [2] The workshop will assume familiarity with Vyas et al., Ann Rev Neuro 2020 [3]. Please review before attending. Organizer and Moderator: Chethan Pandarinath - Emory University and Georgia Tech Speakers & Discussants: Adrienne Fairhall - U Washington Mehrdad Jazayeri - MIT John Krakauer - John Hopkins Francesca Mastrogiuseppe - Gatsby / UCL Abigail Person - U Colorado Abigail Russo - Princeton Krishna Shenoy - Stanford Saurabh Vyas - Columbia We look forward to your participation! Chethan Pandarinath Investigator, Simons-Emory International Consortium on Motor Control Wallace H. Coulter Department of Biomedical Engineering Department of Neurosurgery Emory Neuromodulation and Technology Innovation Center (ENTICe) Emory University and Georgia Tech Amanda L Jacob Operations Manager, Simons-Emory International Consortium on Motor Control Associate Research Scientist, Sober Lab [1] https://docs.google.com/forms/d/1tORYWTXOdOR0p472633X_9jJp4VR169-PgglmfTv7uU/viewform [2] https://www.internationalmotorcontrol.org/dynamicsworkshop.html [3] https://www.annualreviews.org/doi/10.1146/annurev-neuro-092619-094115 ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SimonsEmory_dyn_workshop_poster (1).pdf Type: application/pdf Size: 259016 bytes Desc: SimonsEmory_dyn_workshop_poster (1).pdf URL: From max.garagnani at gmail.com Wed Nov 11 12:08:04 2020 From: max.garagnani at gmail.com (Max Garagnani) Date: Wed, 11 Nov 2020 17:08:04 +0000 Subject: Connectionists: MSc in Computational Cognitive Neuroscience -- 2021-22 application round now OPEN In-Reply-To: References: Message-ID: <31D6FD72-0494-47E5-B8FF-E18ED890C183@campus.goldsmiths.ac.uk> ***************************************************************************** The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is delighted to announce the opening of the 2021-22 round of applications. This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. APPLICATIONS for 2021-22 entry are now OPEN ======================================= To submit an online application (free of any costs), click on the link below and follow the instructions: https://bit.ly/2Fi86SB NOTE: places on this course are limited and allocated on a first-come, first-served basis. Apply early to avoid disappointment later. COURSE OUTLINE: =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, and to read what our alumni have to say about this course, visit: https://coconeuro.com/ LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, and Japan. Carrying out your final project in collaboration with one of our industry partners will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you particularly competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. We look forward to receiving your application soon! Max Garagnani Maria Herrojo Ruiz -- Joint Programme Leaders, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Follow this Masters on Twitter: https://twitter.com/coconeuro_gold ******************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.jenssen at uit.no Thu Nov 12 03:39:19 2020 From: robert.jenssen at uit.no (Robert Jenssen) Date: Thu, 12 Nov 2020 08:39:19 +0000 Subject: Connectionists: New faculty positions in the UiT Machine Learning Group Message-ID: The Machine Learning Group http://machine-learning.uit.no at UiT The Arctic University of Norway is seeking new faculty members. We are a vibrant group located in the thriving city of Tromso, Norway, and we can offer excellent working conditions and social environment. In the last couple of years, for instance, we have published in venues such as IEEE PAMI, ECCV, CVPR, etc. We are annually organizing the Northern Lights Deep Learning - NLDL - workshop http://nldl.org We are leading a large research program funded by the Research Council of Norway and industry partners called "Visual Intelligence" (a centre for research-driven innovation), and we need to strengthen our team by quality faculty members at an international level. Please find the announcement here: https://www.jobbnorge.no/en/available-jobs/job/194367/1-2-positions-as-associate-professor-professor-in-machine-learning Best wishes, Robert Jenssen --- Robert Jenssen UiT Machine Learning Group http://machine-learning.uit.no UiT The Arctic University of Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From richard at autap.se Thu Nov 12 09:07:37 2020 From: richard at autap.se (richard at autap.se) Date: Thu, 12 Nov 2020 14:07:37 +0000 Subject: Connectionists: RSS Workshop on Interpretable Machine Learning and Causal Inference, 15th Dec 2020 Message-ID: <20201112140737.Horde.Cr2mIQsGXgp2ej848-CQe0n@curiosity.servers.prgn.misp.co.uk> The Royal Statistical Society's Computational Statistics and Machine Learning Section are delighted to invite you to a half-day online workshop on Interpretable Machine Learning and Causal Inference, to be held on Tuesday 15th December 2020. Details and sign-up are at: https://rss.org.uk/training-events/events/events-2020/sections/interpretable-machine-learning-causal-inferenc-(1)/ OVERVIEW: Interpretable machine learning and causal inference are both hot topics, related in the kinds of problems they can be applied to. Each aims to address deficiencies in conventional machine learning and statistical approaches to model building. We believe researchers and practitioners working in each community have much to learn from each other, but that without first establishing common ground and defining clear boundaries, communication and collaboration will be difficult. In this workshop, we will hear from four experts about their own research investigating methods and applications in these two areas, which we hope will highlight both the commonalities and differences between them. We also anticipate a lively discussion after the presentations. SCHEDULE (ALL TIMES GMT): 13:00 - 13:15 Introduction & welcome 13:15 - 13:55 Peter Tennant (University of Leeds & Alan Turing Institute) - "Table 2 Fallacy: Or why interpretation needs more than transparency" 13:55 - 14:00 - Break - 14:00 - 14:40 Noemi Kreif (University of York) - "Using causal machine learning to explore heterogeneous responses to policies" 14:40 - 15:05 - Break - 15:05 - 15:45 Alessandra Russo (Imperial College) - "Symbolic machine learning for interpretable AI: recent advancements and future directions" 15:45 - 15:50 - Break - 15:50 - 16:30 Vera Liao (IBM Research) - "Questioning the AI: towards human-centered interpretable machine learning" 16:30 - 17:00 Further questions/general discussion/wrap up Details/sign-up: https://rss.org.uk/training-events/events/events-2020/sections/interpretable-machine-learning-causal-inferenc-(1)/ Many thanks, Richard Tomsett -------------- next part -------------- An HTML attachment was scrubbed... URL: From nagai.yukie at mail.u-tokyo.ac.jp Fri Nov 13 00:31:09 2020 From: nagai.yukie at mail.u-tokyo.ac.jp (Yukie Nagai) Date: Fri, 13 Nov 2020 14:31:09 +0900 Subject: Connectionists: Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo Message-ID: <30DB5784-6D9C-44B1-B259-3ED5ABA3BE1B@mail.u-tokyo.ac.jp> Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and have the opportunity to pursue interdisciplinary research integrating computer science, robotics, neuroscience, cognitive science, and psychology. If you are interested in being considered, please send the required documents to yukie at ircn.jp. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-laboratory Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2023. 4. Place of Work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Engineering, Ph.D. in Computer Science or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees? pension, employment insurance, and workers? accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie at ircn.jp - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video). --------------------------------------------------------------------------------- ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org From dorien.herremans at gmail.com Fri Nov 13 00:45:15 2020 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Fri, 13 Nov 2020 13:45:15 +0800 Subject: Connectionists: Top PhD fellowships in AI and multimedia (music, audio) and finance Message-ID: Dear community, The AI.SG program in Singapore is offering a fellowship for top students. You may apply to the SUTD application portal for this and be in touch with myself to follow up with your application. Our team at the AMAAI lab is happy to welcome strong candidates who want to *research AI for audio, music, or finance. More info: dorienherremans.com/team .* *Some highlights: * - Open for application from any nationality - A competitive *stipend of up to S$6,000 monthly*, on top of other allowances and full tuition fees, support up to four years of studies at Singapore-based AUs - AISG PhD fellows are to publish novel and significant AI fundamental research publications at top-tier venues defined by AISG from the point of award until their PhD candidature period conclude More information here: https://www.aisingapore.org/research/aisg-phd-fellowship-programme/ *Criteria: * - CGPA of 95% or better and coming from top ranked universities - publications at top AI conferences as listed by AISG The earlier you apply the better. Contact me at dorien_herremans @ sutd.edu.sg with subject [AISG phd] for more info and with your application number after you apply. Best, -- Dorien Herremans, PhD Assistant Professor, ISTD & DAI Director, SUTD Game Lab http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.502-18 -------------- next part -------------- An HTML attachment was scrubbed... URL: From oreilly at ucdavis.edu Fri Nov 13 06:38:46 2020 From: oreilly at ucdavis.edu (Randall O'Reilly) Date: Fri, 13 Nov 2020 03:38:46 -0800 Subject: Connectionists: UC Davis Computational Neuroscience Assistant Professor Position Message-ID: Assistant Professor ? Computational Neuroscience The University of California, Davis invites applications for a tenure-track position in computational neuroscience. The position will focus on computational models and methods at the molecular, cellular, circuit and/or systems levels; and/or on identifying general principles of brain function. The appointment will be at the Assistant Professor level and will be in one of the following eight departments: Neurobiology, Physiology, and Behavior (NPB, College of Biological Sciences); Psychology, Physics, Statistics (College of Letters & Sciences); Computer Science, Biomedical Engineering (College of Engineering); Cell Biology and Human Anatomy, Physiology and Membrane Biology (School of Medicine); or have a joint appointment between two of these departments within or across colleges and schools. Research space will be located at the interdisciplinary Center for Neuroscience (https://neuroscience.ucdavis.edu/), which houses a cluster of computational neuroscience faculty and many experimental neuroscience laboratories. Applications are sought from scholars who have strong and innovative research portfolios that would complement the existing research at the Center for Neuroscience and relevant academic departments. This search is part of an initiative to hire 10+ new faculty across multiple departments who focus on advanced computational theory and methods, including clusters of hires in computational neuroscience, neuroengineering, network science, and data science. Application Process: Applicants should submit a cover letter, curriculum vitae, statements of research and teaching interests, representative reprints and/or preprints, a statement of contributions to diversity, and at least three letters of recommendation electronically at: https://recruit.ucdavis.edu/JPF03864. To assure that the application is considered by the appropriate departments, the cover letter should indicate up to 2 choices for which would be the most appropriate academic departments from Neurobiology, Physiology, and Behavior; Psychology; Computer Science; Statistics; Physics; Biomedical Engineering; Cell Biology and Human Anatomy; or Physiology and Membrane Biology. Guidelines for writing a Statement of Contributions to Diversity, Equity, and Inclusion can be found at: https://academicaffairs.ucdavis.edu/guidelines-writing-diversity-statement. For more details and to apply, please see: https://recruit.ucdavis.edu/JPF03864. If you have any further questions, feel free to contact me or my colleagues (CC'd): Mark Goldman, Rishi Chaudhuri, Tim Lewis, Shizhe Chen. Cheers, - Randy ---- Dr. Randall C. O'Reilly Professor, Department of Psychology and Computer Science Center for Neuroscience, UC Davis 1544 Newton Court Davis CA 95618 -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1776 bytes Desc: not available URL: From nsmattei at gmail.com Fri Nov 13 12:58:52 2020 From: nsmattei at gmail.com (Nicholas Mattei) Date: Fri, 13 Nov 2020 11:58:52 -0600 Subject: Connectionists: 1st Call for Nominations: ACM SIGAI Autonomous Agents Research Award 2021 Message-ID: [Apologies for multiple postings, please pass on to interested people!] Nominations are solicited for the 2021 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2021 conference in London, United Kingdom. Anyone can make a nomination. Nominations should be made by email to the chair of the award committee, Stacy Marsella (stacymarsella at gmail.com), and should consist of a short (< 1 page) statement that emphasizes not only the research contributions that the individual has made that merit the award but also how the individual?s current work is an important influence on the field. * 15 January 2021 -- Deadline for nominations * 12 February 2021 -- Announcement of winner * 3-7 May 2021 -- AAMAS-2021 conference in London, United Kingdom Call as a PDF: https://rebrand.ly/SIGAI-AA-Award -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Sat Nov 14 15:55:29 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Sat, 14 Nov 2020 21:55:29 +0100 Subject: Connectionists: SIAM SDM21 travel awards Message-ID: An HTML attachment was scrubbed... URL: From c.seifert at utwente.nl Sun Nov 15 04:17:35 2020 From: c.seifert at utwente.nl (Christin Seifert) Date: Sun, 15 Nov 2020 10:17:35 +0100 Subject: Connectionists: PhD Positions at the Institute for Artificial Intelligence in Medicine (Germany) Message-ID: We are looking for PhD candidates to join an innovative and diverse research team of computer scientists at the Institute for Artificial Intelligence in Medicine, University of Duisburg-Essen (Germany). * You hold a Master or Diploma degree in computer science, applied mathematics, technical medicine or related disciplines. * You are highly motivated to expand your knowledge in one or more of the following fields: machine learning, natural language processing, causal discovery, conversational agents, and explainable artificial intelligence. Ideally, you bring some first experience (e.g., a student project) in at least one of the above areas. * You have experience in programming, preferably python and deep learning libraries. * You are proficient in English. More details: https://tinyurl.com/yxgoc95m Please send your application documents (cover letter, curriculum vitae, certificates, references, etc.) preferably in one single PDF file to christin.seifertATuk-essenDOTde. Kind regards, Christin Seifert From perusquia at ieee.org Sun Nov 15 02:12:39 2020 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Sun, 15 Nov 2020 16:12:39 +0900 Subject: Connectionists: ACII2021 - Call for special session proposals Message-ID: =========================== ACII 2021 - Call for Special Session Proposals http://www.acii-conf.net/2021/ 28 Sep - 1 Oct 2021, Nara, Japan =========================== The organising committee of the 2021 Affective Computing and Intelligent Interaction (ACII) conference is now inviting for special session proposals. Interested parties will need to provide sufficient evidence in support of their proposed special session topic explaining why it deserves distinct focus, how it relates to the theme of the conference ?Ethical AffectiveComputing? (technologies and applications including but not limited to mental health monitoring/diagnosis, lie detection and social/assistive robots which consider the full range of human diversity with respect to ability, language, culture, gender, age and other forms of human difference). It should demonstrate that there is sufficient interest to attract papers on this topic. Once accepted, the organizers of the special session will be expected to attract sufficient papers to make up one session, 1hr 40min, at the conference even after a rigorous peer review of submissions. Note, if a special session fails to receive an adequate number of accepted papers, the special sessions will be canceled and the accepted papers will be included in regular sessions. Also, at least one of the special session organizers will be expected to attend the conference. *Submission format* Proposals must be submitted as a single PDF via email to Hongying.Meng at brunel.ac.uk AND youngjun.cho at ucl.ac.uk Your proposal should include the following items: - Title of the session - Rationale of the need for the Special Session at ACII 2021. The rationale should highlight the novelty of the topic and how it relates to the theme of the conference: Ethical Affective Computing - Potential candidates for submission - Potential structure of session i.e., oral, posters, mix of oral and poster, or other structure relevant for the special session - Short biography of the organizers *Review Process of Special Session Submissions* Papers will be treated as regular papers from both the perspective of the review process and of the proceedings (e.g., length, timeline). The special session will have its own keyword and session organizers will be asked to nominate reviewers. *Key Dates for Special Session Proposal* - Submission of Special Session proposals:*November 26, 2020* - Notification of acceptance for the Special Sessions: December 18, 2020 - Paper Submission to the accepted Special Sessions Deadline: April 20, 2021 - Notification of acceptance for the papers: 24 June, 2021 - Camera ready papers due: 26 July, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From amura at ibecbarcelona.eu Sat Nov 14 04:59:51 2020 From: amura at ibecbarcelona.eu (anna mura) Date: Sat, 14 Nov 2020 10:59:51 +0100 Subject: Connectionists: PhD position in Computational Neuroscience with the INPHINIT fellowship in Barcelona Message-ID: Dear colleagues, we are searching for a Ph.D. candidate in Computational Neuroscience. The Ph.D. position is linked to the INPhINIT call from ?La Caixa Foundation," which closes on the 4th of February 2021. What we offer: The successful candidate will join the research group of Prof. Paul Verschure, at the Institute of Bioengineering of Catalonia (IBEC). The SPECS-lab is a dynamic multi-national, multi-cultural, and multi-disciplinary research environment with a long-standing track record in the study of mind and brain through theoretical, empirical, and synthetic methods. The Ph.D. student will be co-supervised by Prof. Rodrigo Alberto Rocamora at the Epilepsy Unit at Hospital del Mar in Barcelona. How to apply: Before making a formal application, interested applicants should send their CV, cover letter, and the contact of two referees to jobs at ibecbarcelona.eu. Or for more information, applicants can contact me directly at amura at ibecbarcelona.eu. Below some insights on the research and profile of the candidate. Kind Regards, Anna ____________________________________________________________________________________ Analysis, modeling, and visualization of brain physiological data using the multi-scale network platform BrainX3, a novel computational neuroscience tool for diagnostics, prognostics, and intervention planning of neurological disorders. As part of recent international initiatives, neuroscience has embarked on the ambitious challenge of simulating and analysing large-scale brain dynamics at various levels of biological complexity. The outcomes of this approach will contribute to clinical applications to treat several brain dysfunctions, but also have the potential of addressing fundamental questions of brain organization, including the substrate and function of human consciousness. The successful candidate will contribute to uncovering neural and behavioural mechanisms underlying brain dynamics in health and disease and their emulation in artificial behaving systems. This project aims to build a simulation of the damaged brain based on structural and functional connectivity networks using BrainX3 (http://www.brainx3.com/), a computational tool for multi-level integrative in-silico modelling of brain networks. Using BrainX3, this project will target the localization and dynamics of brain lesions and the analyses of their impact on brain function. The BrainX3 platform is specifically designed to integrate multiple types of data and simulate network dynamics at multiple scales. This is particularly important for simulating detailed disease models and assessing the effects of various interventions. The research will be developed within the framework of the EU project: Virtual Brain Cloud. The successful candidate will be supervised by Prof. Paul Verschure at IBEC, ICREA, Barcelona, in collaboration with Prof. Rodrigo Alberto Rocamora at the Epilepsy Unit, IMIM, Barcelona. The successful candidate will conduct research using computational tools for multi-level integrative in-silico modeling of brain networks. Tasks will include: * Building models of brain plasticity, studying the effects of perturbations and patterns of disrupted information flow following simulated lesions, comparing the results of the simulations to empirical functional (fMRI/EEG) data; * Behavioral testing of drug-resistant epileptic patients implanted with intracranial electrodes (e.g., learning, memory, cognition); * Data analysis and whole-brain computational modeling with BrainX3 using the brain data recorded from intracranially implanted electrodes in drug-resistant epileptic patients; * Translation of the BrainX3 models to simulate other brain diseases such as stroke and Alzheimer's disease. Requirements for candidates: * Experience in EEG data analysis, neuroimaging data analysis knowledge, computational neuroscience, bio-inspired computing, e.g., artificial neurons, experimental work, statistical analysis * Excellent programming skills (e.g., C, C++, Python, MATLAB), experience with computational modeling and data analysis, as well as proven writing skills, self-propelled, and a team player. Familiarity with neuroimaging tools is also appreciated. * Degree/Master in Biological Sciences, Artificial Intelligence/Machine Learning Computer Science, Computational Neuroscience, Physics, or equivalent. Application: The candidate?s application must include: * A covering letter explaining his/her approach to challenges listed in the profile * Curriculum Vitae including Google scholar citations if any * Certificates (Bachelor, Masters? degree) Interested applicants should send their CV, cover letter, and the contact of two referees to jobs at ibecbarcelona.eu. ______________________ Dr. Anna Mura - PhD SPECS (Synthetic, Perceptive, Emotive and Cognitive Systems) http://www.ibecbarcelona.eu/specs @SPECS_lab Institute for Bioengineering of Catalonia (IBEC) Av. Eduard Maristany, 16 08019 Barcelona Campus Diagonal Bes?s, Edifici C, floor 6 Tel +34 934012545 Joins us 9th Living Machines conference in Freiburg, Germany (28-31 July 2020) 13th Barcelona Cognition, Brain, Technology summer school (Sept 2020) Aquest correu electr?nic cont? informaci? confidencial emparada pel secret professional. Qualsevol reproducci?, distribuci? o divulgaci? del seu contingut estan estrictament prohibides. Si vost? no ?s el destinatari, li preguem no faci difusi? ni copi? el seu contingut i ens ho notifiqui el m?s aviat possible a l'adre?a dataprotection at ibecbarcelona.eu Este correo electr?nico contiene informaci?n confidencial amparada por el secreto profesional. Cualquier reproducci?n, distribuci?n o divulgaci?n de su contenido est?n estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la direcci?n dataprotection at ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection at ibecbarcelona.eu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Sun Nov 15 08:56:14 2020 From: doya at oist.jp (Kenji Doya) Date: Sun, 15 Nov 2020 13:56:14 +0000 Subject: Connectionists: Neural Networks Special Issue on Artificial Intelligence and Brain Science In-Reply-To: References: <45c950987a4f4790a654560b11d1203e@OSBPR01MB2821.jpnprd01.prod.outlook.com> <9484abc760404e36956ecf0de874cbc3@OSBPR01MB2821.jpnprd01.prod.outlook.com> Message-ID: Building on the big success of the International Symposium on Artificial Intelligence and Brain Science (AIBS 2020) http://www.brain-ai.jp/symposium2020/ we are organizing a Neural Networks Special Issue on Artificial Intelligence and Brain Science: https://www.journals.elsevier.com/neural-networks/call-for-papers/special-issue-on-artificial-intelligence-and-brain-science This special issue features perspective articles based on the discussions at AIBS 2020 and aims to capture recent advances in the crossing forefront of AI and neuroscience. We call for submissions of papers aiming at fruitful fusion of AI and brain science. Topics of interest include, but are not limited to: ? Brain-inspired Artificial Intelligence ? Deep Learning ? Reinforcement Learning ? World Model Learning and Inference ? Metacognition and Metalearning ? AI for Neuroscience ? Neuromorphic Technologies ? Social Impact and Ethics of Neuro-AI Technologies Prospective authors should submit their manuscripts online at https://www.editorialmanager.com/NEUNET/default.aspx ? Manuscript submission due: January 10, 2021 ? First review completed: March 31, 2021 ? Revised manuscript due: May 31, 2021 ? Final decisions to authors: June 30, 2021 Guest Editors: Kenji Doya, Okinawa Institute of Science and Technology (ncus at oist.jp) Karl Friston, University College London Masashi Sugiyama, RIKEN AIP and The University of Tokyo IRCN Josh Tenenbaum, Massachusetts Institute of Technology ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From contact at sscc.fr Fri Nov 13 14:02:36 2020 From: contact at sscc.fr (SSCC 2020) Date: Fri, 13 Nov 2020 20:02:36 +0100 (CET) Subject: Connectionists: Last CFP-SSCC 2020 : Online Conference - Deadline Nov. 15th In-Reply-To: <1572545563.63683.1605187455615@email.ionos.fr> References: <1594671022.759783.1603506462900@email.ionos.fr> <1659575027.759785.1603506876450@email.ionos.fr> <2017361011.39744.1603895779157@email.ionos.fr> <2015821950.40501.1603896185924@email.ionos.fr> <1572545563.63683.1605187455615@email.ionos.fr> Message-ID: <125338091.132544.1605294156203@email.ionos.fr> An HTML attachment was scrubbed... URL: From ashwin-geet.dsa at loria.fr Sun Nov 15 16:56:47 2020 From: ashwin-geet.dsa at loria.fr (Ashwin Geet Dsa) Date: Sun, 15 Nov 2020 22:56:47 +0100 (CET) Subject: Connectionists: Call for Masters 2 Internship at LORIA-INRIA on: Multi-task learning for hate speech classification In-Reply-To: <336305770.10558528.1605477175325.JavaMail.zimbra@loria.fr> References: <336305770.10558528.1605477175325.JavaMail.zimbra@loria.fr> Message-ID: <2065631967.10558917.1605477407161.JavaMail.zimbra@loria.fr> Dear All, Below is the details on call for Masters 2 internship, Title: Multi-task learning for hate speech classification Research Lab : MULTISPEECH team, LORIA-INRIA, Nancy, France Supervisors: Irina Illina, Associate Professor, HDR ( illina at loria.fr) Ashwin Geet D?Sa , PhD Thesis student ( ashwin-geet.dsa at loria.fr) Dominique Fohr , Research scientist CNRS (dominique.fohr at loria.fr) Motivation and context: During the last years, online communication through social media has skyrocketed. Although most people use social media for constructive purposes, few misuse these platforms to spread hate speech. Hate speech is anti-social communicative behavior and targets a minor section of the society based on religion, gender, race, etc. (Delgado and Stefancic, 2014). It often leads to threats, fear, and violence to an individual or a group. Online hate speech is a punishable offense by the law, and the owners of the platform are held accountable for the hate speech posted by its users. Manual moderation of hate speech by humans is often expensive and time-consuming. Therefore, automatic classification techniques have been employed for the detection of hate speech. Recently, deep learning techniques have outperformed the classical machine learning techniques and have become state-of-the-art methodology for hate speech classification (Badjatiya et al., 2017). These methodologies need a large quantity of annotated data for training. The task of annotation is very expensive. To train a powerful deep neural network based classification system, several corpora can be used. Multi-task learning is a deep learning-based methodology (MT-DNN) which has proven to outperform the single-task based deep learning models, especially in the low-resource setting (Worsham and Jugal, 2020; Liu et al., 2019). This methodology jointly learns a model on multiple tasks such as classification, question-answering, etc. Thus, the information learned in one task can benefit other tasks and improves the performance of all the tasks. Existing hate speech corpora are collected from various sources such as Wikipedia, Twitter, etc. Labeling of these corpora can vary greatly. Some corpus creators combine various forms of hate, such as ?abuse?, ?threat?, etc. and collectively annotate the samples as ?hate speech? or ?toxic speech?. Whereas, other authors create more challenging corpora using fine-grained annotations such as ?hate speech?, ?abusive speech?, ?racism?, etc. (Davidson et al., 2017). Furthermore, the definition of hate speech remains unclear, and corpus creators can use different definitions. Thus, a model trained on one corpus cannot be easily used to classify the comments from another corpus. To take advantage of the different available hate speech corpora and to improve the performance of hate classification, we would like to explore the multi-corpus learning by using the methodology of multi-task learning. Objectives: The objective of this work is to improve the existing deep learning hate speech classifier by developing the multi-task learning system using several hate speech corpora during the training. In the MT-DNN model of (Liu et al., 2019), the multi-task learning model consists of a set of task-specific layers on top of shared layers. The shared layers are the bottom layers of the model and are jointly trained on several corpora. The task-specific layers are built on top of the shared layers and each of these layers is trained on a single task. We want to explore this setup for hate speech detection learning. In this case, shared layers will be jointly trained on several corpora of hate speech. Each task-specific layer will be used to learn a specific hate speech task from a specific corpus. For example, one task-specific layer can use very toxic, toxic, neither, healthy and very healthy classification task and the Wikipedia detox corpus (Wulczyn et al.,). Another task-specific layer can use hateful, abusive, normal classification task and the Founta corpus (Founta et al.). Since shared-layers are jointly trained using multiple corpora, it will improve the performance of the task-specific layers, especially for a task with small amount of data. The work plan for the internship is as follows: at the beginning, the intern will conduct a literature survey on the hate speech classification using deep neural networks. Using the hate speech classification baseline system (CNN-based or Bi-LSTM-based), existing in our team, the student will evaluate the performance of this system on several available hate speech corpora. After this, the student will develop a new methodology based on the MT-DNN model for efficient learning. We can use pre-trained BERT model (Devlin et al., 2019) to initialize the shared layers of MT-DNN. The performance of the proposed MT-DNN model will be evaluated and compared to single corpora learning and multi-corpora learning (grouping all corpora together). Required Skills: Background in statistics, natural language processing and computer program skills (Python). Candidates should email a detailed CV with diploma. Bibliography: Badjatiya P., Gupta S., Gupta M., and Varma V. ?Deep learning for hate speech detection in tweets.? In Proceedings of the 26th International Conference on World Wide Web Companion, pp. 759-760, 2017. Davidson T., Warmsley D., Macy M., and Weber I. ?Automated hate speech detection and the problem of offensive language.? arXiv preprint arXiv:1703.04009, 2017. Delgado R., and Stefancic J. ?Hate speech in cyberspace.? Wake Forest L. Rev. 49: 319, 2014. Devlin J., Chang M., Lee K., and Toutanova K. ?BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.? In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171-4186. 2019. Founta AM, Djouvas C, Chatzakou D, Leontiadis I, Blackburn J, Stringhini G, Vakali A, Sirivianos M, Kourtellis N. Large scale crowdsourcing and characterization of Twitter abusive behavior. ICWSM. 2018. Liu X., He P., Chen W., and Gao J. ?Multi-Task Deep Neural Networks for Natural Language Understanding.? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 4487-4496. 2019. Worsham J., and Jugal K. ?Multi-task learning for natural language processing in the 2020s: where are we going?.? Pattern Recognition Letters, 2020. Wulczyn E, Thain N, Dixon L. Ex machina: Personal attacks seen at scale. InProceedings of the 26th International Conference on World Wide Web 2017. Best Regards, Ashwin Geet D'Sa -------------- next part -------------- An HTML attachment was scrubbed... URL: From mjose.escobar at gmail.com Sun Nov 15 15:33:24 2020 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Sun, 15 Nov 2020 17:33:24 -0300 Subject: Connectionists: IEEE TCDS Special Issue on Emergent Topics on Development and Learning Message-ID: *Special Issue on Emerging Topics on Development and Learning* IEEE Transactions on Cognitive and Developmental Systems https://mc.manuscriptcentral.com/tcds-ieee This special issue will include state-of-the-art research on emerging topics on development and learning in natural and artificial systems. This special issue has a focus on development and learning from a multidisciplinary perspective gathering researchers from computer science, robotics, psychology, and developmental studies. We invite researchers to share knowledge and research on how humans and animals develop sensing, reasoning and actions, and how to exploit robots as research tools to test models of development and learning. We expect the submitted contributions emphasize the interaction with social and physical environments and how cognitive and developmental capabilities can be transferred to computing systems and robotics. This approach goes hand in hand with the goals of both understanding human and animal development and applying this knowledge to improve future intelligent technology, including for robots that will be in close interaction with humans. Important Dates - Special Issue Submission Deadline: Friday, 15th January 2021 - Special Issue Notification: Monday, 15th March 2021 - Special Issue Revised Manuscripts: Thursday, 10th June 2021 - Special Issue Final Version: Saturday, 10th July 2021 The primary list of topics of interest include, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. Guest Editors: Giulio Sandini, Italian Institute of Technology and University of Genoa, Italy https://www.iit.it/people/giulio-sandini Javier Ruiz-del-Solar, Universidad de Chile https://scholar.google.com/citations?user=U0XHBs8AAAAJ Nicol?s Navarro-Guerrero, Department of Engineering, Aarhus University, Denmark https://nicolas-navarro-guerrero.github.io/ Mar?a-Jos? Escobar, Department of Electronic Engineering, Universidad T?cnica Federico Santa Mar?a, Chile http://profesores.elo.utfsm.cl/~mjescobar/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.micheli at unipi.it Mon Nov 16 05:57:29 2020 From: alessio.micheli at unipi.it (Alessio Micheli) Date: Mon, 16 Nov 2020 10:57:29 +0000 Subject: Connectionists: [CfP] IEEE TNNLS Special Issue on "Deep Neural Networks for Graphs" Message-ID: <5e8d0e4e64164569a1f5a958496ac9eb@unipi.it> IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Issue on "Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications" Submission Deadline: July 31, 2021. More info: CFP: https://cis.ieee.org/images/files/Documents/call-for-papers/tnnls/CFP_SS_DNNGTMAA.pdf TNNLS: https://cis.ieee.org/publications/t-neural-networks-and-learning-systems Guest Editors: Ming Li, Zhejiang Normal University, China; Alessio Micheli, University of Pisa, Italy; Yu Guang Wang, Max Planck Institute for Mathematics in the Sciences, Germany; Shirui Pan, Monash University, Australia; Pietro Li?, University of Cambridge, UK; Giorgio Stefano Gnecco, IMT School for Advanced Studies, AXES Research Unit, Italy; Marcello Sanguineti, University of Genoa, Italy. --- Kind regards, Prof. Alessio Micheli (CIML, University of Pisa) -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Mon Nov 16 08:44:20 2020 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Mon, 16 Nov 2020 14:44:20 +0100 Subject: Connectionists: 2nd CfP: ACM Symposium of Access Control Models and Technologies Message-ID: <0a89217f86cb8465fd4199a6ce42875c@iit.cnr.it> Apologies for multiple posting --- ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 June 16-18, 2012, Barcelona, Spain http://sacmat.dista.uninsubria.it/2021/about.php ---------------------------------------------------------- Important dates ---------------------------------------------------------- * Paper submission: February 15, 2021 (11:59 pm AOE) * Rebuttal: March 30 - April 2nd, 2021 * Notifications: April 15th, 2021 * Systems demo and Poster submissions: April 19th, 2021 * Systems demo and Poster notifications: April 27th, 2021 * Panel Proposal: TBD * Camera ready: May 4th, 2021 * Conference date: June 16 ? June 18, 2021 * Call for Research Papers Papers offering novel research contributions are solicited for submission. Accepted papers will be presented at the symposium and published by the ACM in the symposium proceedings. In addition to the regular research track, this year SACMAT will again host the special track -- "Blue Sky/Vision Track". Researchers are invited to submit papers describing promising new ideas and challenges of interest to the community as well as access control needs emerging from other fields. We are particularly looking for potentially disruptive and new ideas which can shape the research agenda for the next 10 years. We also encourage submissions to the newly introduced ?Work-in-progress Track? to present ideas that may have not been completely developed and experimentally evaluated. Topics of Interest Submissions to the regular track covering any relevant area of access control and computer security are welcomed. Areas of interest include, but are not limited to, the following: Systems: * Operating systems * Cloud systems and their security * Distributed systems * Fog and Edge-computing systems * Cyber-physical and Embedded systems * Mobile systems * Autonomous systems (e.g., UAV security, autonomous vehicles, ) * IoT systems (e.g., home-automation systems) * WWW Network: * Network systems (e.g., Software-defined network, Network function virtualization) * Corporate and Military-grade Networks * Wireless and Cellular Networks * Opportunistic Network (e.g., delay-tolerant network, P2P) * Overlay Network * Satellite Network Privacy and Privacy-enhancing Technologies: * Mixers and Mixnets * Anonymous protocols (e.g., Tor) * Online social networks (OSN) * Anonymous communication and censorship resistance * Access control and identity management with privacy * Cryptographic tools for privacy * Data protection technologies * Attacks on Privacy and their defenses Authentication: * Password-based Authentication * Biometric-based Authentication * Location-based Authentication * Identity management * Usable authentication Mechanisms: * Blockchain Technologies * AI/ML Technologies * Cryptographic Technologies * Programming-language based Technologies * Hardware-security Technologies (e.g., Intel SGX, ARM TrustZone) * Economic models and game theory * Trust Management * Usable mechanisms Data Security: * Big data * Databases and data management * Data leakage prevention * Data protection on untrusted infrastructure Policies and Models: * Novel policy language design * New Access Control Models * Extension of policy languages * Extension of Models * Analysis of policy languages * Analysis of Models * Policy engineering and policy mining * Verification of policy languages * Efficient enforcement of policies * Usable access control policy * Regular Track Paper Submission and Format Papers must be written in English. Authors are required to use the ACM format for papers, using the two-column SIG Proceedings Template (the sigconf template for LaTex) available in the following link: https://www.acm.org/publications/authors/submissions The length of the paper in the proceedings format must not exceed twelve US letter pages formatted for 8.5" x 11" paper and be no more than 5MB in size. It is the responsibility of the authors to ensure that their submission will print easily on simple default configurations. The submission must be anonymous, so information that might identify the authors - including author names, affiliations, acknowledgements, or obvious self-citations - must be excluded. It is the authors' responsibility to ensure that their anonymity is preserved when citing their own work. Submissions should be made to the EasyChair conference management system by the paper submission deadline of February 15, 2021 11:59 pm AOE: https://easychair.org/conferences/?conf=sacmat21 All submissions must contain a significant original contribution. That is, submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference, or workshop. In particular, simultaneous submission of the same work is not allowed. Wherever appropriate, relevant related work, including that of the authors, must be cited. Submissions that are not accepted as full papers may be invited to appear as short papers. At least one author from each accepted paper much register for the conference prior to the camera-ready deadline. * Blue Sky Track Paper Submission and Format All submissions to this track should be in the same format as for the regular track, but the length must not exceed ten US letter pages, and the submission are not required to be anonymized (optional). Submissions to this track should be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Work-in-progress Track Paper Submission and Format Authors are invited to submit papers in the newly introduced work-in-progress track. This track is introduced for (junior) authors, ideally Ph.D. and Masters students, to obtain early, constructive feedback on their work. Submissions in this track should follow the same format as for the regular track papers while limiting the total number of pages to six US letter pages. Paper submitted in this track should be anonymized and can be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Call for Lightning Talk Participants are invited to submit proposals for 5-minute lightning talks describing recently published results, work in progress, wild ideas, etc. Lightning talks are a new feature of SACMAT, introduced this year to partially replace the informal sharing of ideas at in-person meetings. Submit at https://easychair.org/my/conference?conf=sacmat21 by May 28, 2021 (the early registration deadline). Notification of acceptance on June 2, 2021. * Call for Posters SACMAT 2021 will include a poster session to promote discussion of ongoing projects among researchers in the field of access control and computer security. Posters can cover preliminary or exploratory work with interesting ideas, or research projects in early stages with promising results in all aspects of access control and computer security. Authors interested in displaying a poster must submit a poster abstract in the same format as for the regular track, but the length must not exceed three US letter pages, and the submission should not be anonymized. The title should start with "Poster:". Accepted poster abstracts will be included in the conference proceedings. Submissions for posters should be emailed to the poster chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5PM PDT. The subject line should include "SACMAT 2021 Poster:" followed by the poster title. * Call for Demos A demonstration proposal should clearly describe (1) the overall architecture of the system or technology to be demonstrated, and (2) one or more demonstration scenarios that describe how the audience, interacting with the demonstration system or the demonstrator, will gain an understanding of the underlying technology. Submissions will be evaluated based on the motivation of the work behind the use of the system or technology to be demonstrated and its novelty. The subject line should include "SACMAT 2021 Demo:" followed by the demo title. Demonstration proposals should be in the same format as for the regular track, but the length must not exceed four US letter pages, and the submission should not be anonymized. A two-page description of the demonstration will be included in the conference proceedings. Submissions should be emailed to the Demonstrations Chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5pm PDT. * Financial Conflict of Interest (COI) Disclosure: In the interests of transparency and to help readers form their own judgements of potential bias, ACM SACMAT requires authors and PC members to declare any competing financial and/or non-financial interests in relation to the work described. * Definition For the purposes of this policy, competing interests are defined as financial and non-financial interests that could directly undermine, or be perceived to undermine the objectivity, integrity and value of a publication, through a potential influence on the judgements and actions of authors with regard to objective data presentation, analysis and interpretation. Financial competing interests include any of the following: Funding: Research support (including salaries, equipment, supplies, and other expenses) by organizations that may gain or lose financially through this publication. A specific role for the funding provider in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript, should be disclosed. Employment: Recent (while engaged in the research project), present or anticipated employment by any organization that may gain or lose financially through this publication. Personal financial interests: Ownership or contractual interest in stocks or shares of companies that may gain or lose financially through publication; consultation fees or other forms of remuneration (including reimbursements for attending symposia) from organizations that may gain or lose financially; patents or patent applications (awarded or pending) filed by the authors or their institutions whose value may be affected by publication. For patents and patent applications, disclosure of the following information is requested: patent applicant (whether author or institution), name of inventor(s), application number, status of application, specific aspect of manuscript covered in patent application. It is difficult to specify a threshold at which a financial interest become significant, but note that many US universities require faculty members to disclose interests exceeding $10,000 or 5% equity in a company. Any such figure is necessarily arbitrary, so we offer as one possible practical alternative guideline: "Any undeclared competing financial interests that could embarrass you were they to become publicly known after your work was published." We do not consider diversified mutual funds or investment trusts to constitute a competing financial interest. Also, for employees in non-executive or leadership positions, we do not consider financial interest related to stocks or shares in their company to constitute a competing financial interest, as long as they are publishing under their company affiliation. Non-financial competing interests: Non-financial competing interests can take different forms, including personal or professional relations with organizations and individuals. We would encourage authors and PC members to declare any unpaid roles or relationships that might have a bearing on the publication process. Examples of non-financial competing interests include (but are not limited to): ? Unpaid membership in a government or non-governmental organization ? Unpaid membership in an advocacy or lobbying organization ? Unpaid advisory position in a commercial organization ? Writing or consulting for an educational company ? Acting as an expert witness * Conference Code of Conduct and Etiquette ACM SACMAT will follow the ACM Policy Against Harassment at ACM Activities. Please familiarize yourself with the ACM Policy Against Harassment and guide to Reporting Unacceptable Behavior. * AUTHORS TAKE NOTE The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: https://marinellapetrocchi.wixsite.com/mysite `Luck is a matter of geography' (Bandabardo') From lmuller2 at uwo.ca Mon Nov 16 10:37:18 2020 From: lmuller2 at uwo.ca (Lyle Muller) Date: Mon, 16 Nov 2020 15:37:18 +0000 Subject: Connectionists: PhD and Postdoc Positions in Computational/Theoretical Neuroscience (Western University) Message-ID: The lab of Lyle Muller (http://mullerlab.ca) in the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario) has multiple PhD positions and one postdoctoral position in computational and theoretical neuroscience. NeuroNex Postdoctoral Scholar: This scientist will work with an international NeuroNex consortium studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Joint PhD position with Julio Martinez-Trujillo: This scientist will join a growing marmoset electrophysiology program in the Martinez-Trujillo lab, where multichannel arrays will record neural spiking activity at high spatial and temporal resolution during sensory and cognitive tasks. These multimodal experiments will be complemented by computational analyses and models collaboratively developed in the two labs. Joint PhD position with Wataru Inoue: This scientist will develop a real-time interface between recorded neurons and computational models of these single cells. The candidate will then use these ?dynamic clamp? recordings to study how the properties of single cells are shaped by network activity and how network activity is in turn shaped by these properties. Research in this project will involve developing intracellular recording paradigms in conjunction with single neuron and spiking network models. Candidates interested in the lab?s research are additionally encouraged to contact the PI to discuss other projects of interest. Research in the lab utilizes a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Graduate students can apply through the departments of Applied Mathematics or Neuroscience. Interested candidates (both graduate and postdoc) can write to lmuller2 at uwo.ca with a CV to arrange an interview. Review of applications will begin on 15 December. BrainsCAN has an upcoming Graduate Studentship (deadline 4 January 2021) for highly talented candidates. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged. BrainsCAN has an upcoming EDI Postdoctoral Special Call (deadline 4 December 2020), and any interested applicants can write the PI directly to discuss applications for this opportunity. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From cirstea.bogdanionut at gmail.com Mon Nov 16 14:21:20 2020 From: cirstea.bogdanionut at gmail.com (Bogdan Ionut Cirstea) Date: Mon, 16 Nov 2020 19:21:20 +0000 Subject: Connectionists: [Journals] 1st CFP: Special Issue on "Theory of Mind in Humans and in Machines" Message-ID: Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK) and Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-and-in-machines . Papers may be submitted until the 3rd of April 2021. Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. The submission of abstracts is not mandatory and the deadline is the 4th of December 2020. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: ? Computational Theory of Mind ? Learning from Demonstrations ? Cognitive Models for Learning from Demonstration and Planning ? Neuroscience-inspired models of Theory of Mind ? Human-Robot Interaction ? Cooperative Inverse Reinforcement Learning (assistance games) ? Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin at brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001 at cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea at brookes.ac.uk> -------------- next part -------------- An HTML attachment was scrubbed... URL: From nnavarin at math.unipd.it Mon Nov 16 15:05:53 2020 From: nnavarin at math.unipd.it (=?utf-8?Q?Nicol=C3=B2_Navarin?=) Date: Mon, 16 Nov 2020 21:05:53 +0100 Subject: Connectionists: [CfP] Special Issue "Human Interaction with Artificial Intelligence Systems" IEEE Transactions on Human-Machine Systems Message-ID: Please accept our apologies in case of multiple receptions. Please send to interested colleagues and students. *** Call for Papers *** Special Issue on Human Interaction with Artificial Intelligence Systems: New Human-Centered Perspectives and Challenges IEEE Transactions on Human-Machine Systems, Impact Factor: 4.570 Link to the CFP: https://www.ieeesmc.org/publications/transactions-on-human-machine-systems/special-issues#upcoming *** Important dates *** - Manuscript submission due: February 28, 2021 - First round decision made: April 30, 2021 - Revised manuscript due: June 30, 2021 - Notification of final decision: July 31, 2021 - Final manuscript submission:: August 31, 2021 - Expected publication: September 30, 2021 *** Aims and Scope (summary)*** This special issue is aimed at investigating a broad range of issues deriving from Human Interaction with AI. We welcome interdisciplinary and multidisciplinary contributions to understand how AI can improve human life in different fields. Specifically, contributions in this SI should aim to improve the quality of the interaction between humans and AI systems and investigate new solutions to improve user trust in AI in a broad range of domains (medicine, psychology, education, security, transports, social networks, smart home devices, work, recommendations, etc.). *** Topics *** Potential contributions may address, but are not limited to, the following topics: - building trust between humans and AI systems - enhancing usability and user experience of AI systems and devices - estimating intentionality in interaction with AI systems and robots - AI-enabled human-robot interaction - growing long-term relationships with AI enabled systems - improving interpretability and explainability of AI algorithms - transparency on decision and suggestion making of AI systems towards users - ethical issues in interacting with AI systems - fairness and transparency of AI methods and applications - novel applications of human-centered AI If in doubt about suitability, please contact the Guest Editors. *** Submission Instructions *** Papers should be submitted through http://mc.manuscriptcentral.com/thms with a cover letter that contains the statement: ?This manuscript is being submitted to the Special Issue on ?Human Interaction with Artificial Intelligence Systems: new human-centered perspectives and challenges?.? For detailed submission information, please refer to ?Information for Authors? at: https://www.ieeesmc.org/publications/transactions-on-human-machine-systems/information-for-authors *** Guest Editors *** -Nicolo? Navarin, University of Padova, Italy, nnavarin at math.unipd.it -Merylin Monaro, University of Padova, Italy merylin.monaro at unipd.it -Kerstin Bach, Norwegian University of Science and Technology (NTNU), Norway kerstin.bach at ntnu.no -Emilia I. Barakova, Eindhoven University of Technology, Netherlands e.i.barakova at tue.nl ? Nicol? Navarin, PhD Assistant Professor University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Office: 416 Tel. +39 049 8271427 E-mail: ?nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin ? Nicol? Navarin, PhD Assistant Professor University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Office: 416 Tel. +39 049 8271427 E-mail: nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From grothe at brain.uni-bremen.de Tue Nov 17 06:37:21 2020 From: grothe at brain.uni-bremen.de (Iris Grothe) Date: Tue, 17 Nov 2020 12:37:21 +0100 Subject: Connectionists: Postdoctoral Researcher Kreiter Lab Bremen -laminar electrophysiology Message-ID: <041c01d6bcd6$02ed2ed0$08c78c70$@brain.uni-bremen.de> Postdoctoral Researcher (f/m/d) in Systems Neuroscience A postdoctoral position (EG-13 TV-L; 100%, limited to 3 years) is available in the lab of Prof. Andreas Kreiter "Cognitive Neurophysiology" at the University of Bremen, Germany. The lab focusses on the fundamental question of how neural signals are routed through dense neural networks and how cognitive processes like attention influence the signal routing. We combine in vivo electrophysiology (with multicontact laminar probes, electrocorticographic arrays and single cell recordings) with intracortical electrical stimulation and behavior to study the neural codes involved in the prioritization of processing relevant over irrelevant information (see also: https://www.uni-bremen.de/en/brain). The position For the DFG SPP 2205 project "Evolving to be flexible - optimizing task-dependent information processing in the visual system" a postdoctoral position is available immediately. The position is fulltime (39,2 hrs/week) and is initially limited to three years. The project is performed in collaboration with the group of theoretical neurophysicist Dr. Udo Ernst and focuses on the co-evolution of function and flexibility in the visual system. In the experiments we will investigate whether and how visual circuits allow the flexible combination of signal streams from different places in the visual field in a task-dependent manner. In order to reveal features of neural network flexibility we will use laminar multicontact probes in multiple visual areas. We offer . The Cognitive Neurophysiology group is part of the multidisciplinary Brain Research Institute and Center of Cognitive Sciences at the University of Bremen. You will benefit from a collaborative environment alongside other labs focusing on systems neuroscience at the neighbouring university departments. . The joint project with Dr. Udo Ernst provides a unique opportunity to work together with excellent computational neuroscientists thereby both broadening your knowledge in computational neuroscience and participating in the synergy resultant of the immediate interaction between theory and experiment. . Being part of the consortium involved in the SPP "Evolutionary optimization of neuronal processing" allows collaborations with multiple cutting edge institutes throughout Germany. . Opportunity to work with high density laminar, in vivo electrophysiological data Requirements . Ph.D. in Neuroscience, Cognitive Science, Neurobiology or related field . High motivation and good team-working skills . Good data analysis and organizational skills are essential . Solid programming skills in Matlab . Solid understanding of digital signal processing . Experience with in vivo electrophysiology, stereotactic surgeries or behavioural training is advantageous. . Prior experience working with primates is a plus . Fluency in English Deadline: November 27th, 2020 The University of Bremen aims to increase the proportion of women in academia. It has received several awards for the promotion of gender equality and is certified as a family-friendly university. Female scientists are strongly encouraged to apply. Applications from scientists with a migration background as well as international applications are explicitly welcomed. Applicants with disabilities will be given priority if their professional and personal aptitude is essentially equal. Applications should include a cover letter specifying your motivation and research interests, a CV, copies of relevant diplomas and two references letters and should be sent with the reference number A276/20 to: Andreas Kreiter Cognitive Neurophysiology Postfach 330 440 28334 Bremen Germany or electronically, in a single pdf to kreiter at brain.uni - bremen.de Contact Iris Grothe Email: grothe at brain.uni-bremen.de Dr. Iris Grothe Cognitive Neurophysiology Brain Research Institute Center for Cognitive Sciences Email: grothe at brain.uni-bremen.de Phone: 0049 (0)421 218 63026 Postal Address: Postfach 330 444 28334 Bremen Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Nov 17 04:39:13 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 17 Nov 2020 10:39:13 +0100 Subject: Connectionists: =?utf-8?q?Save_the_Date=3A_The_7th_Online_=26_Ons?= =?utf-8?q?ite_International_Conference_on_Machine_Learning=2C_Opti?= =?utf-8?q?mization=2C_and_Data_Science_=E2=80=93_LOD_2021=2C_June_?= =?utf-8?q?29_-_July_2=2C_Grasmere=2C_Lake_District=2C_England_?= =?utf-8?b?4oCTIFVL?= Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested attendees. The 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science ? #LOD2021, June 29 - July 2, Grasmere, Lake District, England ? UK https://lod2021.icas.cc lod at icas.cc Important Dates: * Special Session Proposals: Monday December 14, 2020. * Paper Submission Deadline: Monday January 25, 2021 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2021 https://lod2021.icas.cc/deadlines/ Past Keynote Speakers: https://lod2021.icas.cc/past-keynote-speakers/ Save the Date! Best regards, LOD 2021 Organizing Committee https://lod2021.icas.cc lod at icas.cc -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Nov 17 04:40:49 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 17 Nov 2020 10:40:49 +0100 Subject: Connectionists: =?utf-8?q?ACDL_2021=2C_4th_Advanced_Online_=26_On?= =?utf-8?q?site_Course_on_Data_Science_=26_Machine_Learning_=7C_Jul?= =?utf-8?q?y_19-23=2C_2021_=7C_Certosa_di_Pontignano=2C_Siena_?= =?utf-8?q?=E2=80=93_Tuscany=2C_Italy__-_SAVE_THE_DATE?= Message-ID: ACDL 2021, An Interdisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2021 ? A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 19-23, 2021 https://acdl2021.icas.cc acdl at icas.cc ACDL 2021 (as ACDL 2020): an Online & Onsite Course https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/ LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. PAST LECTURERS: https://acdl2021.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Giuseppe Di Fatta, University of Reading, UK * Marco Gori, University of Siena, Italy * Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute * Phillip Isola, MIT, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Risto Miikkulainen, University of Texas at Austin, USA * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Mihaela van der Schaar, University of Cambridge * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE: The venue of ACDL 2021 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2021.icas.cc/venue/ ACCOMMODATION: https://acdl2021.icas.cc/accommodation/ PAST EDITIONS https://acdl2021.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ REGISTRATION: https://acdl2021.icas.cc/registration/ Anyone interested in participating in ACDL 2021 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany next July! ACDL 2021 Organizing Committee. acdl at icas.cc https://acdl2021.icas.cc https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Tue Nov 17 14:26:10 2020 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Tue, 17 Nov 2020 14:26:10 -0500 Subject: Connectionists: Postdoctoral Position In Machine learning: Lifelong Streaming Anomaly Detection Message-ID: Posting this for a colleague. Please do not reply to this email but contact the Prof. Japkowicz at nathalie.japkowicz at american.edu *Postdoctoral Position Machine Learning: Lifelong Streaming Anomaly Detection * Department of Computer Science American University Supervisors: Nathalie Japkowicz (CS), Roberto Corizzo (CS), Michael Baron (Statistics) Description of the Work: This work will take place in the context of DARPA?s L2M program https://www.darpa.mil/program/lifelong-learning-machines The successful candidate will expand American University team?s Lifelong Learning model. This work will be carried on in collaboration with Computer Science *professors Nathalie Japkowicz <(https://www.american.edu/cas/faculty/japkowic.cfm)>*and Roberto Corizzo and Statistics professor Michael Baron. The work will combine deep learning methods with other machine learning, statistical and AI techniques. The resulting system will be integrated to the work of other teams in the L2M program. Requirements: The ideal candidate will hold a Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, Computer Engineering or other related areas and will have substantial experience in Deep Learning. Experience in Deep Learning is necessary while experience in other machine learning areas such as reinforcement learning, unsupervised or one-class learning, outlier detection, time-series analysis, and data stream learning techniques are an added bonus. The candidate will have a record of publications in well-recognized conference and/or journal venues. The principal duties to be carried out include: ? Integration of the current American University (AU) team?s Lifelong Learning approach with SRI International?s approach to the Starcraft application. ? Helping in the design and implementation of the new components of AU team?s approach. ? Adapting the approach to the various domains of application considered by the team. ? Thoroughly evaluating the performance of the system on these domains. ? Co-supervising Senior or Master?s students? implementations (with testing and refinement) of sub-components or specific applications of the project. ? Preparing conference and journal manuscripts in collaboration with Drs. Japkowicz, Corizzo, and Baron and the students involved in the projects. ? Assisting in the preparation of additional grant proposals to continue the project or develop new ideas emanating from the project. Location The successful candidate will be affiliated with the Department of Computer Science at American University in Washington, DC. The candidate will be working with Professors Nathalie Japkowicz, Roberto Corizzo, and other students affiliated with the lab. The candidate will also be working with Professor Michael Baron in the Statistics department. Length The appointment is a 12-month term position (renewable for 12 months pending successful completion of the work and funding) and will commence on January 4, 2021. Submitting an Application Salary is competitive. Review of applications will begin immediately and will continue until December 1 st, 2020 or until the position is filled, subject to ongoing budgetary approval. *Please submit applications via: * *http://apply.interfolio.com/79810 . * Include a letter of application, curriculum vita, three letters of recommendation, and copies of recent published papers or working papers. Please contact Nathalie Japkowicz, at nathalie.japkowicz at american.edu if you have any questions. About the University American University is a private institution within easy reach of the many centers of government, business, research, and the arts located within the nation?s capital. For more information about American University, visit www.american.edu. American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual?s genetic information or any other bases under federal or local laws (collectively ?Protected Bases?) in its programs and activities. American University is a tobacco and smoke free campus. -- Bei Xiao, PhD Assistant Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonghyun.harry.lee at hawaii.edu Tue Nov 17 23:26:06 2020 From: jonghyun.harry.lee at hawaii.edu (Jonghyun Harry Lee) Date: Tue, 17 Nov 2020 18:26:06 -1000 Subject: Connectionists: [Deadline extended to 7 December 2020] AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (AAAI-MLPS 2021) In-Reply-To: References: Message-ID: ***Apologies for cross-posting + extended deadline*** *AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (MLPS)* March 22-24, 2021, Virtual (due to the COVID-19 situation) Stanford University, Palo Alto, California, USA https://sites.google.com/view/aaai-mlps Key Dates Submission: December 7, 2020, 23:59 PM Pacific Time November 20, 2020, 23:59 GMT Notification: January 15, 2021 Symposium: March 22-24, 2021 With recent advances in scientific data acquisition and high-performance computing, Artificial Intelligence (AI) and Machine Learning (ML) have received significant attention from applied mathematics and physics science community. From successes reported by industry, academia, and research communities, we observe that AI and ML have great potential to leverage scientific domain knowledge to support new scientific discoveries and enhance the development of physical models for complex natural and engineering systems. For example, deep learning supports discovery of new materials and high-energy physics from numerous computer simulations and experiments and let us learn low-dimensional manifolds underlying the acquired data in order to represent the system of interest parsimoniously and effectively. ML has offered new insights on adaptive numerical discretization schemes and numerical solvers, which are clearly distinct from traditional mathematical theories. AI also provides a new way of generalizing constitutive physics laws based on big scientific data sets. Despite the progress, there are still many open questions. Our current understanding is limited regarding how and why AI/ML work and why they can be predictive. AI has been shown to outperform traditional methods in many cases especially with high-dimensional, inhomogeneous data sets. However, a rigorous understanding of when AI/ML is the right approach is largely lacking: for what class of problems, underlying assumptions, available data sets, and constraints are these new methods best suited? The lack of interpretability in AI-based modeling and related scientific theories makes them insufficient for high-impact, safety-critical applications such as medical diagnoses, national security, and environmental contamination. With transparency and a clear understanding of the data-driven mechanism, desirable properties of AI should be best utilized to extend current methods in physical and engineering modeling. Handling expensive training costs and large memory requirements for ever-increasing scientific data sets becomes also important to guarantee scalable science machine learning. This symposium will aim to present the current state of the art and identify opportunities and gaps in AI/ML-based physics science. The symposium will focus on challenges and opportunities for increasing the scale, rigor, robustness, and reliability of physics-informed AI necessary for routine use in science and engineering applications and discuss potential researcher-AI collaborations to significantly advance diverse scientific areas and transform the way science is done. Topics: Authors are strongly encouraged to present papers that combine and blend physical knowledge and artificial intelligence/machine learning algorithms. Topics of interest include but are not limited to the following: 1. Artificial intelligence/machine learning framework that can seamlessly synthesize models, governing equations and data 2. Approaches to encode scientific knowledge in machine learning method and architecture 3. Architectural and algorithmic improvements for scalable physics-informed learning 4. Stability and error analysis for physics-informed learning 5. Software development facilitating the inclusion of physics domain knowledge in learning 6. Discovery of physically interpretable laws from data 7. Applications incorporating domain knowledge into machine learning Submission guideline: We solicit extended abstracts, full papers, and poster abstracts on topics related to the above and can include recent or ongoing research, surveys, and business/use cases. Extended abstracts (2 to 4 pages) and full papers (up to 6 pages) will be peer-reviewed. Posters can be proposed by submitting an abstract (1 to 2 pages). All submissions should follow the AAAI format in the Author Kit , will be handled through EasyChair ( https://easychair.org/conferences/?conf=sss21) and the review will be double-blind to ensure academic integrity. Accepted extended abstracts and full papers shall be published in an open access proceedings site. More details can be found in https://easychair.org/cfp/AAAI_MLPS_2021 Invited Speakers: Animashree Anandkumar, Caltech/NVIDIA Nathan Kutz, University of Washington More invited speakers are to be announced Organizing Committee: Jonghyun Harry Lee, University of Hawai'i at Manoa Eric F. Darve, Stanford University Peter K. Kitanidis, Stanford University Michael W. Mahoney, University of California, Berkeley Anuj Karpatne, Virginia Tech Matthew W. Farthing, U.S. Army Engineer Research and Development Center Tyler Hesser, U.S. Army Engineer Research and Development Center Program Committee: Kevin Carlberg, Facebook Marta D'Elia, Sandia National Laboratories Ramakrishnan Kannan, Oak Ridge National Laboratory Paris Perdikaris, University of Pennsylvania Sanghyun Lee, Florida State University Chris Rackauckaus, MIT Peter Sadowski, University of Hawai'i at Manoa Nathaniel Trask, Sandia National Laboratories Hongkyu Yoon, Sandia National Laboratories -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Tue Nov 17 12:07:39 2020 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Tue, 17 Nov 2020 17:07:39 +0000 Subject: Connectionists: PhD studentship on Trust and Wellbeing in Transparent Human-Robot Interaction Teams (University of Manchester, UK) Message-ID: University of Manchester, UK Cognitive Robotics Lab A PhD studentship on ?Trust and Wellbeing in Transparent Human-Robot Interaction Teams? is available at the University of Manchester, UK. This is a 3-year PhD studentship funded by Honda Research Institute Europe, with Dr Christian Goerick as industry co-supervisor and Professor Angelo Cangelosi as academic supervisor. This PhD project aims at the design of a novel AI cognitive architecture for transparent collaboration amongst a group of human participants and cobots. In particular. it focuses on designing an AI explanatory architecture to enhance trust, wellbeing and harmony in heterogenous collaborative teams. The cognitive architecture will be able to read the intention of the two agents and provide explanatory strategies and information for trustworthy interaction to enhance the harmony and social dynamics of the interaction and group performance. The funding includes a standard PhD bursary and the UK/EU fees for students starting by 1st April 2020. For informal enquires, email angelo.cangelosi at manchester.ac.uk Deadline for application is 15 December 2020. Interviews will be in January 2020, subject to confirmation of contract. For more information and for the application website, see: https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/description/?projectid=28901 Angelo Cangelosi University of Manchester Cognitive Robotics Lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Tue Nov 17 17:35:07 2020 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Tue, 17 Nov 2020 22:35:07 +0000 Subject: Connectionists: Deadline Approaching - CfP EvoStar 2021 - The Leading European Event on Bio-Inspired Computation - Seville, Spain. 7-9 April 2021 Message-ID: Dear Colleague(s), Below you will find the last call for papers for EvoStar 2021. Feel free to distribute. Thank you for your time! ------------------------------------------------ Last Call for papers for the EvoStar conference http://www.evostar.org/2021/ Extended Submission Deadline: November 19, 2020 Conference: 7 to 9 April 2021. Venue: Seville, Spain All accepted papers will be printed in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. Please distribute (Apologies for cross-posting) ------------------------------------------------ ***************************************** News: ----> Deadline Extension to 19th of November, 2020.<--- - Are you an EvoStar Outstanding Student? Want to become one? Consider submitting your contribution and learn more about becoming an OS at: http://www.evostar.org/2021/evostar-outstanding-students/ - EvoStar goes Hybrid! The Evostar is planned as a hybrid event (online and onsite) from 7 to 9 April 2021. Authors that have their submitted work accepted can attend the conference either online or at Seville! - The submission link is now open: https://easychair.org/my/conference?conf=evo2021 - Fast track publication in the Evolutionary Computation journal (MIT Press) for EvoCOP2021: Authors nominated for the best paper award at EvoCOP2021 will be invited to submit an extended version of their work for fast track publication in the Evolutionary Computation journal (MIT Press), subject to standard peer-reviewing. Information at: http://www.evostar.org/2021/evocop/ - Special Issue for EvoMUSART2021: Genetic Programming and Evolvable Machines (Q2, IF: 1.78) will publish a Special Issue on ?Evolutionary computation in Art, music & Design? edited by Juan Romero and Penousal Machado. Some authors from EvoMUSART 2021 will be invited to submit a new paper to this Special Issue. Information at: http://www.evostar.org/2021/evomusart/ - Special Issue for EuroGP2021: The highest quality papers may also be invited to submit extensions for publication in a special issue of the journal Genetic Programming and Evolvable Machines (GPEM). - EvoApps: Special Sessions: Confirmed Special Sessions: .Applications of Bioinspired techniques on Social Networks .Applications of Deep Bioinspired Algorithms .Applications of Nature-inspired Computing for Sustainability and Development .Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition .Evolutionary Machine Learning .Machine Learning and AI in Digital Healthcare and Personalized Medicine .Parallel and Distributed Systems .Soft Computing Applied to Games Information at: http://www.evostar.org/2021/evoapps/ ****************************************** EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 24th European Conference on Genetic Programming http://www.evostar.org/2021/eurogp/ - EvoApplications 24th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2021/evoapps/ - EvoCOP 21st European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2021/evocop/ - EvoMUSART 10th International Conference (and 15th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2021/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 19, 2020 Conference: 7 to 9 April, 2021. Venue: Online and Seville, Spain All accepted papers will be printed in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. Submission link: https://easychair.org/my/conference?conf=evo2021 Please, check the website for more information: http://www.evostar.org/2021/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From katagres at gmail.com Tue Nov 17 22:17:16 2020 From: katagres at gmail.com (Kat Agres) Date: Wed, 18 Nov 2020 11:17:16 +0800 Subject: Connectionists: Last call for applications: Postdoc position available in Affective BCI (National University of Singapore) Message-ID: *Postdoctoral Research Fellow position available* The YST Conservatory of Music at the National University of Singapore (NUS), a world-class, top-ranked university, is seeking a full-time Postdoctoral Research Fellow in Music-based Brain Computer Interfaces. *Job description*The Research Fellow (RF) will engage in research and development of a music-based Brain Computer Interface (BCI) system for emotion regulation in listeners. She/he will work in a multi-disciplinary team with both technical and clinical scientists to help develop 1) machine learning algorithms, 2) an automatic music generation system for affective music generation, and 3) a Brain-Computer Interface system for emotion mediation to be tested in healthy as well as neurological and mental health patients. The RF will help design and manage user tests and clinical trials, help coordinate research activities and supervise research staff/students in the team, and perform data analyses. The RF will need to be capable of working both independently and in a team, of developing innovative solutions, and of publishing research findings in high-impact conferences and journals. This position is part of a large-scale, 4-year project that aims to create a holistic BCI solution for the restoration and enhancement of brain functions. *Successful candidates will need:*? Ph.D. in Computer Science & Engineering, Electrical Engineering, or related disciplines ? Experience in Brain-Computer Interface and machine learning is required ? Strong analytical and programming skills ? Knowledge of music ? Strong publication track record ? Strong ability to work independently and in teams ? Experience with algorithmic music or automatic music generation a plus ? Computational neuroscience and neuroimaging experience a plus *Key details*? Position available immediately ? 3-year contract extendable for 1 year ? Competitive salary and benefits ? The candidate must be based in, or be able to relocate to, Singapore To apply, please send a cover letter outlining your background and interest in the position, sharing why you would be a good fit for this role. Please also submit your curriculum vitae, as well as the names and contact information for 3 references, to Asst Prof Kathleen Agres at katagres at nus.edu.sg For best consideration, applications should be received by *1 December 2020* . -- *Kat Agres, Ph.D.* *Assistant Professor, National University of Singapore (NUS)* *Yong Siew Toh Conservatory of Music* 3 Conservatory Drive, Singapore 117376 | Tel: (65) 6601 2956 -------------- next part -------------- An HTML attachment was scrubbed... URL: From plan4act at phys.uni-goettingen.de Wed Nov 18 04:45:55 2020 From: plan4act at phys.uni-goettingen.de (plan4act) Date: Wed, 18 Nov 2020 10:45:55 +0100 Subject: Connectionists: Online workshop series - Neural Control: From data to machines Message-ID: We are pleased to announce that registration is now open for the remaining sessions of our ongoing workshop series *Neural Control: From data to machines* with weekly?Zoom-sessions each Thursday morning at 10am (CET) throughout November and December. It's not too late to register for tomorrow's session (*Nov 19th*)! Topic: Movement disorders?leave individuals unable to control parts of their bodies,?creating a disconnect between their brain and the world around them. This workshop series looks at how neural activity can be mapped to control smart systems, producing?desired?movements on demand. To discuss the implied problems and solutions, we have brought together experts from the different involved scientific fields. Details and registration at: https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/ Confirmed?Speakers: * *Dario Farina* * *Silvestro Micera* * *Tonio Ball* * *Nick Ramsay* * *Juan ?lvaro Gallego* * *Florentin W?rg?tter* * *Alexander Gail* * *Christian Tetzlaff* * *Michael Fauth* * *Tomoki Fukai* * *Petra Ritter* * *Valerio Mante* * *Hans Scherberger* * *Gordon Cheng* * *Poramate Manoonpong* * *Jan-Matthias Braun* * *Eugenio Gaeta* * *Daniel?Durstewitz* * *Yukie Nagai* Please forward?to anyone who may be interested. Best, Florentin W?rg?tter and Christian?Tetzlaff -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Wed Nov 18 05:57:42 2020 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 18 Nov 2020 11:57:42 +0100 Subject: Connectionists: Call for Applications: 18th Int.l Summer School on Biometrics 2021 In-Reply-To: <435e2213-d1e9-6982-6f38-b04d20cfd657@uniss.it> References: <435e2213-d1e9-6982-6f38-b04d20cfd657@uniss.it> Message-ID: <4202a75b-ed89-41ca-dedd-cea6bfc64f29@gmail.com> ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? ** * * *18^th Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* * * ***BIOMETRICS FOR AI / AI FOR BIOMETRICS* * * *Alghero, Italy? ?? May 31 - June 4 2021* http://biometrics.uniss.it *** * ** To face the expected travel limitations due to the Covid-19 outbreak, the school is planned as a mixed virtual event, allowing participation both in person and remotely with videoconference facilities *Contact:*tista at uniss.it * * *** * *Application deadline: FEBRUARY 15**^th 2021 *(download the application form at: http://biometrics.uniss.it ) From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. For the last eighteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Deep Learning approaches? How to deal with /adversarial attacks/ in biometric recognition? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 18^th edition, the courses will mainly focus on new and emerging issues: ?*The impact of AI in Biometrics and Biometrics in AI;* ?*How to make ?Deep Biometrics? systems /explainable/;* ?*Biometrics for social interactions and emerging applications;* ?*How to exploit new biometric technologies in forensic and security applications.* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by, at least, 18 outstanding experts in the field, from both academia and industry. An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies. Participant application The school is open to about 70 highly qualified, motivated and pre-selected participants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The school fees will be in the order of 1.600 euro (400 euro in videoconference) for Phd students and 2.200 euro (800 euro in videoconference) for others. The fees will include all live courses and handling material. A number of scholarships, covering the fees, will be awarded to Phd students, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site HERE . Phd students and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards (physical and virtual) will be also available to all participants to display their current research or professional advances. Send a filled application form (download from http://biometrics.uniss.it )//together with a short curriculum vitae to:** *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com* * Submission of applications: February 15th, 2021 * Notification of acceptance: March 20th, 2021 * Registration: April 25th, 2021 *_Advance pre-registration is strictly required by February 15^th _**_2021_* *School location* The school lectures will be delivered as a *mixed mode event*, allowing both physical (if the medical advice at the time of the school will allow it in full security) and remote attendance with videoconferencing facilities. * For participants attending in videoconference, live lectures will be delivered online with full sharing of the lecturing material and allowing live interaction with the participants. Private and group meetings with each lecturer will be organised to deepen the discussion started in the class. * Ad-hoc teleconferencing and communication tools will be also set up for practical hands-on sessions and to allow a good engagement of the participants and the lecturers. * Open sessions will be organised with questions and answers moderated by the leading experts in the field. The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years. The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *School Committee:* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA *Distinguished lecturers from past school editions* *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Kevin Bowyer * University of Notre Dame ? USA *Alice O?Toole* University of Texas ? USA *Deepak Chandra * Google Inc. ? USA *Maja Pantic* Imperial College ? UK *Rama Chellappa* University of Maryland ? USA *Johnathon Phillips* NIST ? USA *John Daugman* University of Cambridge ? UK *Tomaso Poggio* MIT ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel *__* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Summer School 2021 Announcement.pdf Type: application/pdf Size: 381909 bytes Desc: not available URL: From bogdanlapi at gmail.com Wed Nov 18 08:47:57 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 18 Nov 2020 15:47:57 +0200 Subject: Connectionists: CLEF2021: 1st Call-for-Labs-Participation Message-ID: [Apologies for multiple postings] CLEF 2021 Conference and Labs on the Evaluation Forum Information Access Evaluation meets Multilinguality, Multimodality and Visualization 21 - 24 September 2021, Bucharest - Romania *** CALL-FOR-LAB-PARTICIPATION *** Conference website: http://clef2021.clef-initiative.eu/ CLEF 2021 is the 12th CLEF conference continuing the popular CLEF campaigns which have run since 2000 contributing to the systematic evaluation of information access systems. It consists of a peer-reviewed conference (see the separate call for papers) and a set of 12 Labs designed to test different aspects of multilingual and multimedia IR systems: 1. ARQMath: Answer Retrieval for Questions on Math 2. BioASQ: Large-scale biomedical semantic indexing and question answering 3. CheckThat!: Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News 4. ChEMU: Cheminformatics Elsevier Melbourne University lab 5. CLEF eHealth: medical content retrieval to support decision making 6. eRisk: Early Risk prediction on the Internet 7. ImageCLEF: Multimedia Retrieval Challenge in CLEF 8. LifeCLEF: Multimedia Life Species Identification 9. LiLAS: Living Labs for Academic Search 10. PAN: Digital Text Forensics and Stylometry 11. SimpleText-202: (Re)Telling right scientific stories to non-specialists via text simplification 12. Touch?: Argument Retrieval *** IMPORTANT DATES *** Lab Registration Opens: 16 November 2020 Registration closes: 30 April 2021 End Evaluation Cycle: 7 May 2021 Working Notes papers due: 28 May 2021 Camera Ready Copy: 2 July 2021 *** PARTICIPATION *** Lab participants must register for the Labs via the CLEF website: http://clef2021-labs-registration.dei.unipd.it/ *** LABS *** 1. ARQMath: Answer Retrieval for Questions on Math ARQMath aims to advance math-aware search and the semantic analysis of mathematical notation and texts. *Task 1 - Answer Retrieval: Given a math question post, return relevant answer posts. *Task 2 - Formula Search: Given a formula in a math question post, return relevant formulas from both question and answer posts. Lab Coordination: Richard Zanibbi (Rochester Institute of Technology), Douglas Oard (University of Maryland), Anurag Agarwal (Rochester Institute of Technology), and Behrooz Mansouri (Rochester Institute of Technology) Lab Website: https://www.cs.rit.edu/~dprl/ARQMath Twitter: @ARQMath1 2. BioASQ: Large-scale biomedical semantic indexing and question answering The aim of the BioASQ Lab is to push the research frontier towards systems that use the diverse and voluminous information available online to respond directly to the information needs of biomedical scientists. *Task 1 - Task A: Large-Scale Online Biomedical Semantic Indexing. *Task 2 - Task B: Biomedical Semantic Question Answering. *Task 3 - Task MESINESP: Medical Semantic Indexing In Spanish. *Task 4 - Task Synergy: Question Answering for COVID-19. Lab Coordination: Anastasia Krithara (National Center for Scientific Research "Demokritos"), Anastasios Nentidis (National Center for Scientific Research "Demokritos" & Aristotle University of Thessaloniki), George Paliouras (National Center for Scientific Research "Demokritos"), Martin Krallinger (Barcelona Supercomputing Center), and Marta Villegas (Barcelona Supercomputing Center) Lab Website: http://www.bioasq.org/workshop2021 Twitter: @BioASQ 3. CheckThat!: Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News The CheckThat! Lab aims at fighting misinformation and disinformation in social media, in political debates, and in the news, with focus on three tasks (in English, Arabic, German and Spanish): check-worthiness estimation, detecting previously fact-checked claims, and fake news detection. *Task 1 - Check-worthiness estimation: given a piece of text, detect whether it is worth fact-checking. *Task 2 - Detecting previously fact-checked claims: given a check-worthy claim in the form of a tweet, and a set of previously-checked claims, determine whether the claim has been previously fact-checked. *Task 3 - Fake new detection: this task has two subtasks: multi-class fake news detection, and domain identification of fake news articles. Lab Coordination: Preslav Nakov, Giovanni da San Martino, Tamer Elsayed, Alberto Barron-Cedeno,Ruben Miguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Nikolay Babulkov, Alex Nikolov, Thomas Mandl, Julia Maria Stru?, Gautam Kishore Shahi, and Sandip Modha Lab Website: https://sites.google.com/view/clef2021-checkthat 4. ChEMU: Cheminformatics Elsevier Melbourne University lab ChEMU (Cheminformatics Elsevier Melbourne University) lab aims to advance the state-of-the-arts in information extraction over chemical patents, and provide the opportunity to address the fundamental NLP task - anaphora resolution in the context of chemical patents. *Task 1 - Chemical Reaction Reference Resolution: given a description of a chemical reaction, the task requires identification of other chemical reactions or general conditions that it refers to. *Task 2 - Anaphora Resolution: this task focuses on expression-level references, and requires identification of reference resolution between expressions in chemical patents. Lab Coordination: Karin Verspoor (The University of Melbourne), Tim Baldwin (The University of Melbourne), Trevor Cohn (The University of Melbourne), Saber Akhondi (Elsevier), Jiayuan He (The University of Melbourne), Christian Druckenbrodt (Elsevier), Camilo Thorne (Elsevier), Biaoyan Fang (The University of Melbourne), Hiyori Yoshikawa (The University of Melbourne), and Zenan Zhai (The University of Melbourne) Lab Website: http://chemu.eng.unimelb.edu.au/ 5. CLEF eHealth: medical content retrieval to support decision making This lab aims to support the development of techniques to aid laypeople, clinicians and policy-makers in easily retrieving and making sense of medical content to support their decision making. *Task 1 - Information Extraction from Noisy Text: participants will identify and classify Named Entities in written ultrasonography reports, containing misspellings and inconsistencies, from a major public hospital in Argentina. *Task 2 - Consumer Health Search: participants must retrieve web pages that fulfil a given patient?s personalised information need. This needs to fulfil the following criteria: information credibility, quality, and suitability. Lab Coordination: Laura Alonso Alemany (Univ. Nacional de C?rdoba), Viviana Cotik (Univ. de Buenos Aires), Lorraine Goeuriot (Univ. J.Fourier), Liadh Kelly (Maynooth University), Gabriella Pasi (University of Milano-Bicocca), and Hanna Suominen (Australian National Univ.) Lab Website: https://clefehealth.imag.fr/ Twitter: @clefhealth 6. eRisk: Early Risk prediction on the Internet The main purpose of eRisk is to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection. *Task 1 - Early detection of pathological gambling: this task will pursue early detection models for emitting alerts on users starting to develop this mental health problem. *Task 2 - Early detection of self-harm: this task will pursue early detection models for emitting alerts on users starting to develop this mental health problem. *Task 3 - Depression-level estimation: in this task, participants are expected to develop models to automatically fill a standard depression questionnaire based on the user's writings. Lab Coordination: Javier Parapar (Universidade da Coru?a), Patricia Mart?n-Rodilla (Universidade da Coru?a), David E. Losada (Universidade de Santiago de Compostela), and Fabio Crestani (University of Lugano) Lab Website: https://erisk.irlab.org/ Twitter: @earlyrisk 7. ImageCLEF: Multimedia Retrieval Challenge in CLEF ImageCLEF 2021, the Multimedia Retrieval Challenge in CLEF, is set to promote the evaluation of technologies for annotation, indexing, classification and retrieval of multi-modal data, with the objective of providing information access to large collections of images in various usage scenarios and domains. *Task 1 - ImageCLEFmedical: participants will be requested to develop solutions for automatically identifying individual components from which captions are composed in Radiology Objects in COntext images and to combine natural language processing and computer vision for answering a medical question based on a visual image content. *Task 2 - ImageCLEFcoral: requires participants to automatically segment and label a collection of coral images that can be used in combination to create 3-dimensional models of an underwater environment. *Task 3 - ImageCLEFdrawnUI: requires participants to detect rectangular bounding boxes corresponding to website User Interface elements from hand-drawn and real-world images. *Task 4 - ImageCLEFaware: participants are required to provide automatic rankings of photographic user profiles in a series of real-life situations such as searching for a job, accommodation, insurance, bank loans, etc. Lab Coordination: Bogdan Ionescu (University Politehnica of Bucharest), Henning M?ller (University of Applied Sciences Western Switzerland), and Renaud P?teri (University of La Rochelle) Lab Website: https://www.imageclef.org/2021 Twitter: @imageclef 8. LifeCLEF: Multimedia Life Species Identification LifeCLEF lab aims at boosting research on the identification and prediction of living organisms in order to solve the taxonomic gap and improve our knowledge of biodiversity. *Task 1 - PlantCLEF: image-based plant species identification from herbarium sheets. *Task 2 - BirdCLEF: bird species identification from bird calls and songs in audio soundscapes. *Task 3 - GeoLifeCLEF: location-based species prediction based on environmental and occurrence data. *Task 4 - SnakeCLEF: image-based and location-based snake identification. Lab Coordination: Alexis Joly (Inria, LIRMM), Henning M?ller (HES-SO), and Herv? Go?au (CIRAD UMR AMAP) Lab Website: https://www.imageclef.org/LifeCLEF2021 9. LiLAS: Living Labs for Academic Search In the LiLAS lab, we would like to bring together IR researchers interested in the online evaluation of academic search systems. The goal is to foster knowledge on improving the search for academic resources like literature, research data, and the interlinking between these resources. *Task 1 - Ad-hoc Search Ranking: the participants get access to the LIVIVO corpus that consists of about 80 million documents from more than 50 data sources in multiple languages from the Life Sciences. *Task 2 - Research Data Recommendations: the goal is to provide recommendations of research data that are relevant and related to the publication the user is currently viewing. The data for this task is taken from the academic search system GESIS Search from the Social Sciences. Lab Coordination: Philipp Schaer (TH K?ln - University of Applied Sciences), Johann Schaible (GESIS - Leibniz Institute for the Social Sciences), and Leyla Jael Garcia Castro (ZB MED - Information Centre for Life Sciences) Lab Website: https://clef-lilas.github.io 10. PAN: Digital Text Forensics and Stylometry PAN is a series of scientific events and shared tasks on digital text forensics and stylometry, studying how to quantify writing style and improve authorship technology. *Task 1 - Cross-domain Authorship Verification: given two texts, determine if they are written by the same author. *Task 2 - Multi-Author Writing Style Analysis: given a text written by two or more authors, find all positions of writing style change. *Task 3 - Profiling Haters on Twitter: given a user's Twitter timeline, determine if they spread hate speech. Lab Coordination: Martin Potthast (Leipzig University), Paolo Rosso (Universitat Polit?cnica de Val?ncia), Efstathios Stamatatos (University of the Aegean), and Benno Stein (Bauhaus-Universit?t Weimar) Lab Website: https://pan.webis.de/ Twitter: @webis_de 11. SimpleText-202: (Re)Telling right scientific stories to non-specialists via text simplification SimpleText aims at contributing to making science more open & accessible via automatic generation of simplified summaries of scientific documents. *Pilot Task 1 - Searching for background information: given a scientific text, provide background information from an external source to help a user to understand it (definitions, context, etc.). *Pilot Task 2 - Text Simplification: given a short scientific text (e.g., abstract), generate its simplified version. Lab Coordination: Liana Ermakova, Patrice Bellot, Pavel Braslavski, Jaap Kamps, Josiane Mothe, Diana Nurbakova, and Eric San-Juan Lab Website: https://www.irit.fr/simpleText/ Twitter: @SimpletextW 12. Touch?: Argument Retrieval Touch? has been designed with the goal to establish a collaborative platform for researchers in the field of argument retrieval and to provide tools for developing and evaluating argument retrieval approaches. *Task 1 - Conversational Argument Retrieval: given a query on a controversial topic, the task is to retrieve relevant arguments from a focused crawl of online debate portals. *Task 2 - Comparative Argument Retrieval: given a comparative question, the task is to retrieve and rank documents from the ClueWeb12 that help to answer the comparative question with arguments and help to make an informed decision. Lab Coordination: Alexander Bondarenko (Martin-Luther-Universit?t Halle-Wittenberg), Lukas Gienapp (Leipzig University), Maik Fr?be (Martin-Luther-Universit?t Halle-Wittenberg), Meriem Beloucif (Universit?t Hamburg), Yamen Ajjour (Martin-Luther-Universit?t Halle-Wittenberg), Alexander Panchenko (Skolkovo Institute of Science and Technology), Chris Biemann (Universit?t Hamburg), Benno Stein (Bauhaus-Universit?t Weimar), Henning Wachsmuth (Paderborn University), Martin Potthast (Leipzig University), and Matthias Hagen (Martin-Luther-Universit?t Halle-Wittenberg) Lab Website: https://touche.webis.de Twitter: @webis_de *** ORGANIZERS *** * General Chairs * Bogdan Ionescu, University "Politehnica" of Bucharest, Romania K. Selcuk Candan, Arizona State University, USA * Program Chairs * Henning M?ller, University of Applied Sciences Western Switzerland, Switzerland Lorraine Goeuriot, Universit? Grenoble Alpes, France Birger Larsen, Aalborg University Copenhagen, Denmark * Evaluation Lab Chairs * Alexis Joly, INRIA Sophia-Antipolis, France Maria Maistro, University of Copenhagen, Denmark Florina Piroi, Vienna University of Technology, Austria * Publicity Chairs * Liviu Stefan Daniel, University "Politehnica" of Bucharest, Romania Mihai Dogariu, University "Politehnica" of Bucharest, Romania * Outreach Program Chairs * Yu-Gang Jiang, Fudan University, China - Asian Liaison Hugo Jair Escalante, Instituto Nacional de Astrofisica, Optica y Electronica, Mexico - Central American Liaison Fabio A. Gonzalez, National University of Colombia, Colombia - South American Liaison Ben Herbst, Praelexis, South Africa - African Liaison Abdulmotaleb El Saddik, University of Ottawa, Canada - North American Liaison * Industry & Sponsorship Chairs * Seila Abdulamit, Vodafone, Romania Mihai-Gabriel Constantin, University "Politehnica" of Bucharest, Romania Bogdan Boteanu, University "Politehnica" of Bucharest, Romania * Website & Social Media Chairs * Denisa Ionascu, University "Politehnica" of Bucharest, Romania * Finance Chair * Ion Marghescu, University "Politehnica" of Bucharest, Romania * Proceedings Chairs * Guglielmo Faggioli, University of Padua, Italy Nicola Ferro, University of Padua, Italy On behalf of the organizers, Bogdan Ionescu https://bionescu.aimultimedialab.ro/ From g.goodhill at uq.edu.au Wed Nov 18 18:39:53 2020 From: g.goodhill at uq.edu.au (Geoffrey Goodhill) Date: Wed, 18 Nov 2020 23:39:53 +0000 Subject: Connectionists: Postdoc positions in Computational/Systems Neuroscience at Washington University in St Louis Message-ID: <6ACF673D-B352-4358-8309-145D10E791FE@uq.edu.au> POSTDOC POSITIONS IN THE NEW GOODHILL LAB AT WASHINGTON UNIVERSITY In 2021 I am starting a new Computational, Systems and Developmental Neuroscience lab at Washington University in St Louis (USA) and several postdoc positions will be available. The lab will primarily focus on the formation of neural circuits underlying behavior. This will include developing novel experimental, computational and theoretical methods, and applying them to domains including hunting behavior, social behavior and sleep. The lab will be fully integrated between experimental and theoretical work, performing behavioral and calcium imaging experiments with zebrafish models, and will also have collaborations with other labs working on a range of model systems. Besides questions in basic neuroscience, a particular area of focus will be the circuit perturbations that underlie Autism Spectrum Disorders. For a list of previous publications see www.goodhill.org/pubs.html For these positions particularly suitable backgrounds include computational neuroscience, systems neuroscience, zebrafish neuroscience, optical physics, or more generally physics, applied mathematics, engineering and computer science. Washington University in St Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. The lab will be based at the Medical School in both the departments of Neuroscience and Developmental Biology, but also expects to develop strong links with the Faculty of Engineering and departments of Mathematics and Physics. If you would like to discuss these positions further please contact me at my current address below, including a detailed CV and cover letter explaining your interest. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill at uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Wed Nov 18 22:06:22 2020 From: jonizhong at msn.com (Joni Zhong) Date: Thu, 19 Nov 2020 03:06:22 +0000 Subject: Connectionists: [CFP] Special Issue on Human-in-the-loop Machine Learning and its Applications - NCAA Journal In-Reply-To: References: , , Message-ID: https://www.springer.com/journal/521/updates/17925472 ================================================================================= Call for Papers: NCAA Special Issue on human-in-the-loop machine learning and its applications ================================================================================= Deadline for submission: Dec 31, 2020 [https://media.springernature.com/w92/springer-static/cover/journal/521.jpg] Neural Computing and Applications | Topical collection on human-in-the-loop machine learning and its applications - Springer Topical Collection on Human-in-the-loop Machine Learning and its Applications. Aims, Scope and Objective. Human-in-the-Loop (HIL) means including human feedback into ... www.springer.com Dear Colleagues, Human-in-the-Loop (HIL) means including human feedback into the training loop of the machine learning models in order to facilitate the following requirements: 1) to improve the quality of training and reduce/prevent the error of the model. When the testing error is larger than a certain threshold, the HIL learning model is able to obtain the new data-points from the users in an interactive way. In some situations, a large error produced by the model should be avoided. For instance, reinforcement learning alone is not sufficient to achieve safety if there exists an exploration policy in robot manipulation, by which some unexpected actions may be generated. In such scenarios, the data-points from human guidance are crucial during both robot?s safe execution as well as model optimization. 2) to incorporate the human user labelling to improve the pre-trained models. During the training of the state-of-the-art models, the quality of the training data-sets is extremely important. One solution to actively incorporate more data is optimizing the models by including the human users? feedback (e.g. rewards in RL) or new data points (e.g. supervised learning) to adapt the pre-trained models in different environments. This special issue will also offer the opportunity for researchers and practitioners in the diverse fields of robotics to showcase its solutions and applications where human reinforcement feedback would have a positive impact on the training processes. The inclusion of HIL would allow robots and machine learning models to use both internal and external feedback to speed up the learning process and also improve its performance. In many ways this could allow the models to learn through their own self-reflection as well as the external input from a human. Specifically, as a following-up journal publication of the special session in HIL machine learning in IEEE SMC 2020, the extended versions of the accepted paper are mostly welcomed. Topics of interest include, but are not limited to: Human Guided Reinforcement Learning Human-robot Collaboration Human-robot Social Interaction Dialogue Systems with Human-in-the-loop Interpretable Machine Learning with Human-in-the-loop Active Learning and Continuous Learning Learning by Demonstration Human Factors in HCI/HRI etc. Deadlines Deadline for submissions: 31st December 2020 Deadline for review: 28th February 2021 Decisions: 20th March 2021 Deadline for revised version by authors: 20th April 2021 Deadline for 2nd review: 10th May 2021 Final decisions: 20th May 2021 Guest Editors Dr. Joni Zhong (Lead Guest Editor), The Hong Kong Polytechnic University, Hong Kong, joni.zhong at ieee.org Dr. Mark Elshaw, Coventry University, UK, mark.elshaw at coventry.ac.uk Dr. Yanan Li, Sussex University, UK, yl557 at sussex.ac.uk Prof. Dr. Stefan Wermter, University of Hamburg, Germany, wermter at informatik.uni-hamburg.de Prof. Xiaofeng Liu, Hohai University, China, xfliu at hhu.edu.cn -------------- next part -------------- An HTML attachment was scrubbed... URL: From alb.mazzoni at gmail.com Thu Nov 19 03:28:43 2020 From: alb.mazzoni at gmail.com (Alberto Mazzoni) Date: Thu, 19 Nov 2020 09:28:43 +0100 Subject: Connectionists: Neural Engineering NER2021 call for papers Message-ID: Dear friends, The deadline for the submission of 4-page papers to our bi-annual IEEEembs conference on Neural Engineering NER2021 is approaching! NER is the world?s gathering place for biomedical engineers, neuroscientists, and clinicians to share research and to exchange ideas and breakthrough advances in novel engineering tools for elucidating brain function and neuro technologies for the restoration and enhancement of impaired sensory, motor, and cognitive functions. The conference program will feature keynote speakers, invited talks, mini-symposia, and poster sessions. Please note that there will be a Special Session on Computer Models in Neuroengineering. All papers will be peer reviewed. All accepted one page and four page papers will appear in the Conference Program. Only four page papers will have the opportunity to be published in IEEE XPlore.Please submit your papers on #neurotechnology #bionics #robotics #prosthetics #neuroscience#machinelearning and more Information and complete call for papers available here: https://neuro.embs.org/2021/ Thanks, best and see you there! Alberto Mazzoni www.santannapisa.it/en/computational-neuroengineering-laboratory -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.ferone at uniparthenope.it Thu Nov 19 08:26:51 2020 From: alessio.ferone at uniparthenope.it (Alessio Ferone) Date: Thu, 19 Nov 2020 14:26:51 +0100 Subject: Connectionists: [CfP] Special Issue "Technology and Applications of Brain-Computer Interfaces" In-Reply-To: <95A06CE1-4668-47A8-B929-608207E76430@uniparthenope.it> References: <95A06CE1-4668-47A8-B929-608207E76430@uniparthenope.it> Message-ID: Dear colleague, it is my pleasure to invite you and members of your research group to submit an article for a special issue ?Technology and Applications of Brain-Computer Interfaces? of the Electronics Journal (ISSN 2079-9292), section ?Computer Science & Engineering ?: https://www.mdpi.com/journal/electronics/special_issues/technology_bci The aim of the special issue is to host recent research advances in the field of technology and applications of Brain-Computer Interfaces and to highlight research issues and still open questions. Electronics (https://www.mdpi.com/journal/electronics) is a refereed journal devoted to the publication of original research papers and review articles in all areas of applied, computational, and industrial mathematics (IF 2.1412, it is included in several databases/resources, among others Scopus). Sincerely, Alessio Ferone, PhD Assistant Professor in Computer Science Department of Science and Technology University of Napoli Parthenope CDN Isola C4 - 80143 - Napoli - Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Thu Nov 19 23:36:09 2020 From: eneftci at uci.edu (Emre Neftci) Date: Thu, 19 Nov 2020 20:36:09 -0800 Subject: Connectionists: =?utf-8?q?Call_for_2021_Telluride_Neuromorphic_Co?= =?utf-8?q?gnition_Engineering_Workshop_Topic_Area_Proposals?= Message-ID: <24ddab4b-baf5-44c5-9c25-31d64c106147@www.fastmail.com> The Telluride Neuromorphic 2021 Workshop Organizers are soliciting topic area proposals for the 2021 Telluride Neuromorphic Cognition Engineering Workshop ( https://sites.google.com/view/tellurideneuromorphic2021/home ) which will run from June 27 to July 16 2021. Details of the call can be found here: https://docs.google.com/document/d/1oVU27pg-O3hIRepgfx1GnrZawiDhG6zNBsTty_kkOV8/edit?usp=sharing Important upcoming dates: - 17.12.2020: Proposer's Day (5pm CET (9am USA Mountain Time). We will answer questions from prospective proposers about the topic area organization. - 01.15.2021: Deadline for Topic Area Proposals. -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From dwang at cse.ohio-state.edu Thu Nov 19 13:37:33 2020 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 19 Nov 2020 18:37:33 +0000 Subject: Connectionists: Announcing Neural Networks Best Paper Award Message-ID: We are pleased to announce the recipient of the 2018 Best Paper Award: "Multilayer bootstrap networks," by Xiao-Lei Zhang, published in Neural Networks, volume 103, pp. 29-43, July 2018. More details about the award are given below: https://www.journals.elsevier.com/neural-networks/announcements/announcement-of-the-neural-networks-best-paper-award This paper has open access at: https://doi.org/10.1016/j.neunet.2018.03.005 Kenji Doya and DeLiang Wang Co-Editors-in-Chief Neural Networks -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mengyu_Wang at MEEI.HARVARD.EDU Thu Nov 19 19:31:53 2020 From: Mengyu_Wang at MEEI.HARVARD.EDU (Wang, Mengyu) Date: Fri, 20 Nov 2020 00:31:53 +0000 Subject: Connectionists: Postdoctoral Opening at Harvard in Statistical and Machine Learning Modeling for Eye Diseases Message-ID: A postdoctoral position is available in Harvard Ophthalmology AI Lab (https://ophai.hms.harvard.edu) under the supervision of Dr. Mengyu Wang (https://ophai.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear and Harvard Medical School. The start date is flexible, with a preference for candidates capable of starting early in 2021. The initial appointment will be for one year with the possibility of extension. Applications should be received before February 1, 2021. Review of applications will begin immediately and will continue until the position is filled. Salary for the postdoctoral fellow will follow the NIH guideline commensurate with years of postdoctoral research experience. In the course of this interdisciplinary project, you will collaborate with a team of world-class scientists and clinicians with backgrounds in visual psychophysics, engineering, biostatistics, computer science, and ophthalmology. You will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. You will have access to abundant resources for education, career development and research both from the Harvard hospital campus and Harvard University campus. The successful applicant will: 1. possess or be on track to complete a PhD or MD with background in mathematics, computational science, computer science, statistics, machine learning, computer vision, image processing, visual science and ophthalmology or a related field. Fluency in written and spoken English is essential. 2. have strong programming skills (C++, Python, R, MATLAB, etc.) and in-depth understanding of statistics and machine learning. Experience with Linux clusters is a plus. 3. have a strong and productive publication record. 4. have a strong work ethic and time management skills along with the ability to work independently and within a multidisciplinary team as required. Your application should include: 1. curriculum vitae 2. statement of past research accomplishments, career goal and how this position will help you achieve your goals 3. two representative publications 4. contact information for three references The application should be sent to Mengyu Wang via email (mengyu_wang at meei.harvard.edu) with subject ?Postdoctoral Application in Harvard Ophthalmology AI Lab". Mass. Eye and Ear Confidentiality Notice: This e-mail and any files transmitted with it are confidential and are intended solely for the use of the individual(s) addressed in the message above. This communication may contain sensitive or confidential information. If you are not an intended recipient, dissemination, forwarding, printing, or copying of this e-mail is strictly prohibited. If you believe you have received this e-mail in error and the email contains patient information, please contact the Mass. Eye and Ear Compliance Line at (800) 856-1983. If the e-mail was sent to you in error but does not contain patient information, please contact the sender and delete the e-mail. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Fri Nov 20 03:14:51 2020 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Fri, 20 Nov 2020 09:14:51 +0100 Subject: Connectionists: CAIRO: Several professorship position (univ. of applied sciences) to be filled in artificial intelligence Message-ID: Dear all, we are creating a new center on artificial intelligence in Wuerzburg, Germany (CAIRO) with multiple open positions (right now we announced 4 positions) https://www.fhws.de/service/stellenausschreibungen-der-fhws/online-stellenportal-fuer-professuren-und-lehrpersonal/ (Please check the mentioned english translation) The positions are research professorships with a reduced teaching load (German W2 level, maybe comparable to senior lecturer status or kind of assistant professor - see e.g (but with reduced teaching load) https://www.research-in-germany.org/en/jobs-and-careers/info-for-senior-researchers/career-paths/professorship/professor-applied-sciences.html) and will establish a center for AI (CAIRO) in Wuerzburg - do research & attract projects - have some minimal administrative duties - have only 9 x 45 min teaching duties per week (9 SWS) during the terms - will be involved in the new created MSc program on Artificial Intelligence This is an exciting moment and chance. The positions are located here in Wuerzburg and the curriculum will be (so far) in English only (it may be necessary to learn some German in the first years) . To be eligible it is mandatory to have 5 years working experience after MSc. including at least 3 years of industrial experience (can be spread and in parts some industry related research institute may also count). The positions announced right now have the following topics: - Reasoning and Acting in AI / Foundations of Cognitive Computing - Representation and Learning in AI - Semantic Data Processing and Cognitive Computing - Robotics and AI (also linked to the Center Robotics and Intelligence (CERI) https://www.fhws.de/service/stellenausschreibungen-der-fhws/online-stellenportal-fuer-professuren-und-lehrpersonal/ (If you have any questions don't hesitate to contact me - I am happy to help) Please spread the word - would be happy to see many applications Frank-M. Schleif PS: Some brief insights about W?rzburg: https://www.planetware.com/tourist-attractions-/wurzburg-d-ba-wur.htm -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From aurelie.calabrese at inria.fr Fri Nov 20 08:27:40 2020 From: aurelie.calabrese at inria.fr (Aurelie Calabrese) Date: Fri, 20 Nov 2020 14:27:40 +0100 (CET) Subject: Connectionists: M2 internship offer - "Automatic production of constrained text from a corpus" Message-ID: <752517047.21832229.1605878860104.JavaMail.zimbra@inria.fr> Dear all, The Biovision Lab is seeking to recruit a highly-qualified Master 2 candidate to join our dynamic, multi-disciplinary research team, located in Sophia Antipolis (France) , in the Inria Research center. The recruited candidate will work on Automatic production of constrained text from a corpus Abstract of the project : Reading performance has become one of the most important clinical measures for judging the effectiveness of treatments, surgical procedures, or rehabilitation techniques. The problem is that accurate measurement of reading performance requires highly standardized reading material which is hard to produce. We are interested in developing new methods to generate automatically such reading material. Your mission will be to revisit a promising prototype that we recently developed and improve it to generate more efficiently correct sentences. Skills you will learn: Processing of large data, code architecture, algorithms and data structures, basic notions in linguistics To learn more about this position and/or apply , please visit: [ https://team.inria.fr/biovision/new-master-2-internship-offer-mnread-generator/ | https://team.inria.fr/biovision/new-master-2-internship-offer-mnread-generator/ ] The goal of the Biovision Lab is to investigate new solutions to help visually-impaired people, through fundamental research as well as innovative technological developments. Our research relies on the integration of multiple techniques for studying human vision with a focus on vision impairment. Approaches include biophysical modeling , dynamical systems analysis, statistical physics, numerical simulation, visual psychophysics , image processing, ergonomics, virtual, and augmented reality . We have two main axes of research. The first focuses on the development of high-tech vision aids and rehabilitation methods for low-vision patients. The second focuses on the precise modeling of the early visual system (retina, thalamus, cortex V1) for normal and dystrophic conditions, targeting applications for blind individuals. These axes are developed in strong synergy, involving a vast network of national and international collaborators with neuroscientists, physicians, and modellers. Biovision Lab is part of Inria, the French Research Institute for Digital Sciences . Inria employs 2,500 people. Its 200 agile project-teams, generally with academic partners, involve more than 3,000 scientists in meeting the challenges of computer science and mathematics, often at the interface of other disciplines. Internships at Inria are an opportunity to immerse yourself in the world of research , in direct contact with researchers. Over and above the Institute's scientific work, interns discover the inner workings of a research institute, learn how i t fits into the international research community and how its research has an impact on significant developments in society. [ https://team.inria.fr/biovision/job-offers | https://team.inria.fr/biovision/job-offers ] -- [ https://www.aureliecalabrese.com/ | Aur?lie Calabr?se ] , Ph.D. Research Associate / Starting Research Position - [ https://team.inria.fr/biovision/ | Biovision project-team ] [ https://www.inria.fr/fr | Inria ] / [ https://www.inria.fr/en/centre-inria-sophia-antipolis-mediterranee | Sophia Antipolis - M?diterran?e research center ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From chiara.boldrini at iit.cnr.it Fri Nov 20 08:30:01 2020 From: chiara.boldrini at iit.cnr.it (Chiara Boldrini) Date: Fri, 20 Nov 2020 14:30:01 +0100 Subject: Connectionists: PMC Special Issue: IoT for Fighting COVID-19 - DEADLINE EXTENDED Message-ID: <20201120133001.b30-M%chiara.boldrini@iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Pervasive and Mobile Computing (PMC) Journal - (2019 IF: 2.725) Special Issue on IoT for Fighting COVID-19 ***** Submission Deadline: December 21st, 2020 [EXTENDED] ***** https://www.journals.elsevier.com/pervasive-and-mobile-computing/call-for-papers/special-issue-on-iot-for-fighting-covid-19 ------------------------------------------------------------------------------ Throughout history, pandemics have ravaged humanity with plagues and infections that created humanitarian crises, severed social interactions, hindered economic growth, and caused human lives loss. With the most recent COVID-19 outbreak, researchers and practitioners across various domains such as medical and life sciences, economics, and engineering are coming together to put forward solutions to counter such a threat and aid the society in coping with the fallbacks. In the same context, the computing community in general and IoT researchers and practitioners in particular face a challenge about how IoT-based systems can be exploited to fight the COVID-19 pandemic. This special issue aims to find answers to some fundamental questions such as what IoT systems, technologies, and infrastructures can be exploited for data and knowledge-driven management of the pandemics, how IoT can enable innovative and unconventional solutions for mitigating outbreaks (through mechanisms such as context-sensitive contact tracing and symptomatic detection, smart lockdowns, crowd-sensed discovery of the emerging clusters), and how IoT can contribute to increased public awareness and safety, and counter the negative emotional and social impact. This special issue invites technical papers that focus on theoretical and applied research contributions that present original ideas, modeling and simulation results, prototypes, and real-world experiences in the context of IoT for countering pandemics. Interdisciplinary works are most welcome. This special issue will focus on (but will not be limited to) the following topics: * Engineering of IoT Systems to Counter the COVID-19 Pandemic: IoT-driven smart lockdown; context-sensitive contact tracing and symptomatic detection; crowd-sensed identification of the pandemic hotspots; IoT-driven smart health in the time of pandemics; IoT-driven detection of transmission pathways and dose-response effect; data engineering for pandemic IoT systems. * Algorithms for IoT Systems to Counter the COVID-19 Pandemic: Context modeling and reasoning applied to pandemics; activity and well-being recognition for early detection of symptoms and monitoring of disease progression; data mining, machine learning and causal reasoning applied to IoT systems to fight pandemics; social and complex networks of IoT devices during pandemics. * Empirical Research on IoTs to Counter the COVID-19 Pandemic: Industrial findings and experience reports; validation and evaluation research; measurement studies; systematic mapping studies, or systematic literature reviews. * Reference Architectures, Infrastructures, and Tools for IoT Systems to Counter the COVID-19 Pandemic: IoT-driven pandemic management; architectural patterns and styles for pandemic tracing; prototypes and tool support; mobile cloud computing, fog and edge computing; development environments, frameworks, and tools; technological IoT innovations; trust, security, and privacy. * Analytical models of IoT Systems to Counter the COVID-19 Pandemic: performance models of IoT-driven containment and mitigation strategies; analytical studies of required IoT penetration to achieve control of the epidemic; data-driven IoT models and estimation of key parameters to feed into theoretical models. * Application of IoT Systems to Counter the COVID-19 Pandemic: smart healthcare; smart emergency response systems; smart community and crowd management; food security; smart lockers and innovative choice, pack and delivery methods; unconnected infrastructure and IoT systems. * IoT Systems beyond COVID-19: experience reports, applied solutions, frameworks, prototypes, simulations, and validation research to detect, manage, and counter epidemics like Dengue, Ebola, SARS, Zika, etc. Timeline -------- Submission deadline: 21 December 2020 (EXTENDED) First notification: February 2021 Guest Editors ------------- Chiara Boldrini, Lead Guest Editor IIT-CNR, Italy Aakash Ahmad University of Ha?il, Saudi Arabia & TeraBlu IoT Systems, Pakistan Mahdi Fahmideh University of Wollongong, Australia Rabie Ramadan Cairo University, Egypt & University of Ha?il, Saudi Arabia Mohamed Younis University of Maryland Baltimore County, USA Submission Guidelines --------------------- All submissions have to be prepared according to the Guide for Authors as published in the Journal website at https://www.journals.elsevier.com/pervasive-and-mobile-computing. Authors should select ?VSI: IoT-COVID19?, from the ?Choose Article Type? pull-down menu during the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue ?IoT for Fighting COVID-19?. All contributions must not have been previously published or be under consideration for publication elsewhere. A submission based on one or more papers that appeared elsewhere has to comprise major value-added extensions over what appeared previously (at least 40% new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary in the cover letter explaining the enhancements made in the journal version. For further information, please contact the guest editors. From joern.diedrichsen at googlemail.com Fri Nov 20 09:45:37 2020 From: joern.diedrichsen at googlemail.com (=?utf-8?Q?J=C3=B6rn_Diedrichsen?=) Date: Fri, 20 Nov 2020 09:45:37 -0500 Subject: Connectionists: Graduate Studies in Computational Neuroscience at Western University Message-ID: GRADUATE STUDIES IN COMPUTATIONAL NEUROSCIENCE AT WESTERN Western University has recently made major investments in building excellence in cognitive and computational neuroscience. The Computational Brain Sciences Research Group at the Brain and Mind Institute has become a major hub of excellence in this area, bringing together an interdisciplinary and highly collaborative team of researchers, spanning Neuroscience, Computer Science, Artificial Intelligence, Statistics and Mathematics, who seek to uncover how the brain solves the computational problems that ultimately give rise to intelligent behavior. Our group is tightly embedded into the strong and vibrant research community in basic and clinical neuroscience at Western. We are looking for exceptionally talented and motivated MSc / PhD students for the fall 2021 intake. Through BrainsCAN funding, we offer a competitive?graduate?scholarship program in computational neuroscience. Interested applicants should contact one or more principal investigators at Western University whose combined expertise covers the spectrum of computation and neuroscience, and who can serve as co-advisors on the proposed research project. Projects that contribute to increasing diversity in neuroscience at Western University are encouraged. Among the core faculty are: Marieke Mur - Vision, Psychophysics, Neuroimaging Yalda Mohsenzadeh - Neural Dynamics of human Perception and Memory, Computer Vision Lyle Muller - Vision, Memory, Networks J?rn Diedrichsen - Motor Control and Learning, Analysis of Neural and Neuroimaging data Ali Khan - Anatomical and functional imaging analysis, Ultra-high field Neuroimaging pipelines Boyu Want- Machine learning, Brain Signal analysis, Knowledge transfer in ML Andrea Soddu - Resting-state networks, function-structure relationship Mark Daley - Neural Computing, Theoretical Computer Science More information about the research groups can be found here : Please send a single PDF file entitled _.pdf to the principal investigator(s) you hope to work with, containing a CV a short Research Statement (maximal 2 pages) outlining your research interest and how it fits with ongoing work in the lab(s) the name and contact information of 2 academic references please state clearly, which graduate program (Neuroscience, Computer Science, Statistics, or Applied Mathematics, or other) you are applying for. Individual PIs will begin the review of applications on December, 18th. Deadline for the graduate scholarship is January 4th. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Fri Nov 20 05:38:28 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Fri, 20 Nov 2020 11:38:28 +0100 Subject: Connectionists: Call for Participation COMPLEX NETWORKS 2020 December 1-3, 2020 Message-ID: *Ninth** International Conference on Complex Networks & Their Applications* *http://www.complexnetworks.org * *Registration*: https://complexnetworks.org/registration/ COMPLEX NETWORKS 2020 proceeds as an online event with the support of the local organizing committee of Madrid. *Program: *https://easychair.org/smart-program/COMPLEXNETWORKS2020/ *Tutorials:* *November 30, 2020* The main conference is preceded by a half-day tutorial on November 30, 2020. ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Keynote Speakers:* ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain Best regards, and looking forward to seeing you online at COMPLEX NETWORKS 2020. Rosa M. Benito, Hocine Cherifi, Esteban Moro COMPLEX NETWORKS General Chairs Join us at COMPLEX NETWORKS 2020 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Nov 22 17:25:31 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 22 Nov 2020 23:25:31 +0100 Subject: Connectionists: Call for Workshops, IEEE CEC 2021, Extended deadline -- December 3, 2020 In-Reply-To: References: Message-ID: <1ee3b2f8-3cac-a818-f3f2-1c9f57d69934@amu.edu.pl> Call for Workshops IEEE CEC 2021 (https://cec2021.mini.pw.edu.pl/) will host a few pre-Congress workshops, focusing on discussing contemporary topics in the Congress area. Workshops offer a technical community the opportunity to polarize ideas towards a common vision for a sub-field, or the development of a position on topic. Workshops can be organized around emerging research areas, challenging problems and industrial applications. Workshops may include tutorials, keynote / invited lectures, contributed papers and presentations, panel discussions. Other forms, structures and content are also possible. Organizers of accepted workshops are expected to prepare a workshop website and call for papers, publicize the workshop, gather submissions, conduct the reviewing process and decide upon the final workshop program. A workshop proposal should include ? a workshop title and a short introduction to the topic, ? aims and relevance of the proposed workshop to IEEE CEC 2021, ? a list of potential speakers, ? the expected length of the workshop (half a day or a full day), ? the workshop tentative form and structure, ? names, affiliations, websites and bios of the organizers. Papers accepted at a workshop will not be published in the main proceedings. Workshop organizers may, either, seek an independent publication such as a post-even special issue in a journal, or, organize a special session within IEEE CEC 2021. In the latter case, accepted papers will appear in the main conference proceedings. Proposals and inquiries, regarding workshops, should be addressed to the Workshop Chair: Maria Ganzha (m.ganzha at mini.pw.edu.pl). Workshop proposals should be submitted by December 3, 2020. All workshops will be held on June 28th, 2021. From marcin at amu.edu.pl Fri Nov 20 17:03:46 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 20 Nov 2020 23:03:46 +0100 Subject: Connectionists: Call for Chapters -- Sustainable Smart Cities: Theoretical Foundations and Practical Considerations -- Studies in Computational Intelligence In-Reply-To: References: Message-ID: <652afc83-cf75-aec1-6820-21e3488cbe9c@amu.edu.pl> Call for contributions ? edited volume Sustainable Smart Cities: Theoretical Foundations and Practical Considerations Volume Editors: Pradeep Kumar Singh Marcin Paprzycki Mohammad Essaaidi Shahram Rahimi Book Series: Studies in Computational Intelligence The prime objective of the book is to explore the current areas of research and development, and challenges to be faced in different areas, as related to making cities smart. We are particularly interested in, real-world-grounded, solutions facilitated from the technology and computing perspectives. However, we are also open to, technology oriented, considerations related to the social aspects of development of smart cities of the future. It can be easily observed that (i) Internet of things (IoT),(ii) cloud, fog/edge computing,(iii) data science-based solutions,(iv) 5G and other networking technologies,(v) distributed ledger/blockchain & security, as well as (vi) artificial intelligence & machine learning, are the key technologies for smart cities. All of them are parts of integrated approaches and they have been used to deliver smart city applications like: intelligent traffic monitoring, innovative solutions for city monitoring (including video surveillance), smart homes and office buildings, smart parking, etc. In addition, smart transportation, smart energy solutions, disaster management, and smart healthcare have been identified as some of the key requirements for future cities to be seen as smart. Numbers of unique sustainable solutions have been proposed by researchers working in the area of data science, to fulfill the dream of the smart city. However, up to now, proposed approaches are, much too often, just academic ideas, published in journals and conference proceedings. A lot more work is needed to be able to make these ideas a reality. This is also why we propose this book as a way to bring together ideas and possible ways of realizing them. Moreover, smart cities cannot be created without the involvement of all the stakeholders of the city, namely, local community, government, NGOs, academia and industry. They have to understand technology and on the basis of such understanding, jointly, formulate reasonable plans for ?smartifying? their city. Note also that each city may have different hierarchy of needs that should be addressed. This is why we invite also reflection on how to involve all the city?s stakeholders to jointly work to make their city smart for the citizens. We are inviting chapters addressing topics from any of the six major areas. Contributions in the form of research articles, reviews, taxonomies, lists of solved and unsolved problems, findings of special interest in the context of smart city technologies, and social aspects of their realization. * Social aspects of making city smart * 5G and other networking technologies for smart cities * Data science and business analytics for smart cities * IoT, edge/ fog and cloud for smart cities * Distributed ledger . blockchain and security solutions for smart cities * Artificial intelligence and machine learning for smart cities Deadlines: Full Chapter Submission: 30 January, 2021 Acceptance: 30 March, 2021 Tentative Publication: June, 2021 Submissions (Easy Chair Only): https://easychair.org/conferences/?conf=smartcities2021 Contacts: Pradeep Kumar Singh (pradeep_84cs at yahoo.com) Marcin Paprzycki (marcin.paprzycki at ibspan.waw.pl) Additional information: * There is no explicit limit on the length of the contribution. * Comprehensive state-of-the-art review is expected and required. * The similarity index must be below 20% from all sources. * There is NO PUBLICATION FEE at any stage of the process. * Appropriate Springer Template (for the Studies in Computational Intelligence series) must be used. Use of LaTeX is strongly encouraged. * Contributors are responsible for delivery of material written in high quality English, error free, formatted according to the required specification. Texts formatted using different templates, full for spelling/grammar errors, written in incomprehensible English, will be rejected without review. From pmitra3 at gmail.com Sat Nov 21 02:27:28 2020 From: pmitra3 at gmail.com (Prasenjit Mitra) Date: Sat, 21 Nov 2020 02:27:28 -0500 Subject: Connectionists: Post-doctoral Scholar Position at The Pennsylvania State University Center for Socially Responsible AI Message-ID: The Pennsylvania State University is seeking multiple outstanding postdoctoral candidates to join the Intelligent Information Systems Laboratory (http://iis.ist.psu.edu/ ) at the College of Information Sciences and Technology. The positions are available immediately. The projects involve research on artificial intelligence, big data analytics, and machine learning with applications in health informatics, sustainability, social informatics, etc. Required skills for all positions include: A strong record of technical excellence and achievement as demonstrated through publications, software development and release, presentations at national and international meetings, and independent research in relevant disciplines. Experience in software development to empirically validate research hypotheses. Demonstrated strong written communication skills. Must be self-directed and have successful experience working in an interdisciplinary, team-oriented technical atmosphere, able and willing to contribute towards proposal writing and assisting in mentoring graduate and undergraduate research. Education: Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, Industrial Engineering, or a related subject. More information about the particular project goals can be provided to interested candidates. Please submit an application consisting of a CV, a cover letter (optional), a research statement (optional), and names of three references by email to Prasenjit Mitra (see pubs at: https://dblp.uni-trier.de/pid/19/3308.html ) at pmitra at psu.edu . Applications will be processed on a first-come first-serve basis, and will be accepted on a continuing basis until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sun Nov 22 23:44:23 2020 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 23 Nov 2020 10:14:23 +0530 Subject: Connectionists: Extension of deadline (ISMSI21, Seychelles, Victoria) Message-ID: Dear colleagues, This is about *2021* 5*th International Conference on Intelligent Systems, Metaheuristics & Intelligent Systems (ISMSI21). * The conference is slated to be held in *Victoria, Seychelles *during *April 10-11, 2021* http://ismsi.org/ However, in case the prevailing global pandemic situation does not improve, the same may be held as a full-fledged virtual conference, as was for ISMSI20. *EURO ( The Association of European Operational Research Societies) /its spl. interest group on Metaheuristics* being the *technical sponsors* of the ISMSI21. Due to the prevailing situation, and based on the requests from our peers we have extended the submission deadline. *Extended Submission Deadline* 25th Dec, 2020 *Proceedings* As in the previous 4 editions, the proceedings of ISMSI21 will be published by *ICPS of ACM and published papers will be indexed by Ei Compendex & Scopus.* Apart from the scope there is scope for a selected & subset of papers, after being extended, to be considered for publication at a special issue of the *NCAA journal (a Springer publication with 2019 Impact Factor & 5 year Impact Factor of 4.774 & 4.627 respectively) * https://www.springer.com/journal/521). Some papers may also be considered for *EJOR, an Elsevier Publication ( 2019 Impact Factor & 5 year Impact Factor of 4.213 & 4.729 respectively)* https://www.journals.elsevier.com/european-journal-of-operational-research *Key Note Speeches* Leading scientists from USA & Europe will deliver the Keynote Speeches at the conference http://ismsi.org/keynote.html We hope to receive your manuscript(s) in the coming days. Best regards, Suash Deb General Chair, ISMSI21 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hcalvert at sas.upenn.edu Fri Nov 20 14:29:12 2020 From: hcalvert at sas.upenn.edu (Calvert, Heather J) Date: Fri, 20 Nov 2020 19:29:12 +0000 Subject: Connectionists: Job Posting: MindCORE Research Fellowship for Postdoctoral Scholars at the University of Pennsylvania (apply by Jan 14) Message-ID: MindCORE Research Fellowship for Postdoctoral Scholars MindCORE (Mind Center for Outreach, Research, and Education) seeks to recruit outstanding postdoctoral researchers for our Research Fellowship for Postdoctoral Scholars. Housed within the School of Arts & Sciences of the University of Pennsylvania, MindCORE is an interdisciplinary effort to understand human intelligence and behavior. Designed for individuals who have recently obtained a PhD degree in psychology, linguistics, neuroscience, philosophy, computer science or other cognitive science discipline, the MindCORE Fellowship is a springboard for young researchers as they establish their own research program. Fellows are also encouraged to pursue collaborative research with faculty working across disciplines at Penn. Benefits Fellows receive a competitive salary, relocation allowance, health insurance plus a modest research budget. Fellows also benefit from access to the greater community of academics including visiting scholars plus leading research facilities equipped with cutting-edge instrumentation all on an urban campus in a vibrant city. Fellows are invited to join regular working group meetings within their field plus career development workshops aimed at young researchers, and will be provided with a mentoring committee. Funding is provided in one year terms renewable for up to three years. Eligibility & Application * Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment. Candidates must submit 1-2 page research statement that identifies at least three MindCORE faculty at Penn (https://mindcore.sas.upenn.edu/people/faculty-and-associates/) with whom the applicant would be interested in collaborating, along with a CV and contact information for two referees. * Submitted documents should be saved with candidate's Lastname_Firstname.PDF in one PDF file in this order: research statement, CV, referees (name, affiliation, email address). Complete applications should be submitted through the form on our website: https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowship/. Questions can be emailed to pennmindcore at sas.upenn.edu * Applications due January 14, 2021. Selection All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria: * Scientific excellence * Scientific match and interdisciplinarity * Career potential MindCORE awards ~2 post-doctoral Fellowships per year. Positions may start as early as July 1, 2021. Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. Thank you for posting/sharing! Heather J. Calvert (she / her) Executive Director, MindCORE, University of Pennsylvania Penn's hub for the integrative study of the mind. hcalvert at sas.upenn.edu https://web.sas.upenn.edu/mindcore/ Follow MindCORE on Twitter & Facebook @PennMindCORE -------------- next part -------------- An HTML attachment was scrubbed... URL: From shelie at purdue.edu Sat Nov 21 09:25:42 2020 From: shelie at purdue.edu (=?UTF-8?B?U8OpYmFzdGllbiBIw6lsaWU=?=) Date: Sat, 21 Nov 2020 09:25:42 -0500 Subject: Connectionists: Tenure-Track Assistant Professor Position in Neuroscience and Behavior Message-ID: <22703cb9-8ae6-5dc8-cd6f-817d04a4d2c3@purdue.edu> Department of Psychological Sciences Tenure-Track Assistant Professor Position in Neuroscience and Behavior Date Available: August 2021 Principal Duties: Purdue University?s Department of Psychological Sciences invites applications for a tenure-track Assistant Professor position in Neuroscience and Behavior to begin in the Fall of 2021. The successful candidate will be expected to develop a program of nationally recognized research and teach undergraduate and graduate level courses. You can learn more about our department at our website: https://www.purdue.edu/hhs/psy/. Qualifications: The candidate must have a Ph.D. in psychology, neuroscience, or a related field and should have appropriate postdoctoral experience. Candidates should have a strong publication record, a research program with a high likelihood of obtaining external funding, and potential for teaching and mentoring excellence. We are particularly interested in candidates whose research is at the intersection of neuroscience and aging, but we will consider all candidates who conduct research in neuroscience, broadly defined. The College & University: The Department of Psychological Sciences is the largest Department in the College of HHS (http://www.purdue.edu/hhs/), which is the second largest college at Purdue. The department's graduate program in Neuroscience and Behavior was recently restructured to integrate research in human neuroscience within the program's traditional focus on (non-human) animal neuroscience. The Psychological Sciences faculty have strong connections with centers, institutes, and resources across campus, including the Life Science MRI Facility (https://www.purdue.edu/hhs/mri/), the Center for Research on Brain, Behavior, and NeuroRehabilitation (CEREBBRAL; https://www.purdue.edu/hhs/cerebbral/), the Purdue Institute for Integrative Neuroscience (PIIN; https://www.purdue.edu/discoverypark/institute-for-integrative-neuroscience/), and the Center on Aging and the Life Course (CALC; https://www.purdue.edu/aging/about). Established in 1869, Purdue is Indiana?s land-grant university, a comprehensive educational and research institution and member of the American Association of Universities. The West Lafayette campus, located one hour north of Indianapolis and two hours south of downtown Chicago, has ten academic colleges with an enrollment of 44,500 students from over 133 countries. The diverse greater Lafayette/West Lafayette community (http://www.homeofpurdue.com) has a population of approximately 200,000, and a low cost of living. Application Procedure: Applications must include (1) a cover letter of interest, (2) a curriculum vitae, (3) a research statement, (4) three peer-reviewed research articles, (5) a teaching statement, and (6) a diversity, equity, and inclusion statement (see below), and 7) contact information for three references. Application materials should be submitted by January 6th, 2021 for full consideration. Review of applications will continue until the position is filled. A background check is required for employment in this position. Questions regarding the position may be sent to Dr. Julia Chester, Chair of the Search Committee (jcheste at purdue.edu). Interested candidates should apply to https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=12135&company=purdueuniv. Purdue University?s Department of Psychological Sciences is committed to advancing diversity in all areas of faculty effort including discovery, instruction, and engagement. Candidates should address at least one of these areas in the separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. Equal Opportunity: Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply. ----------------------------------------------------------------- S?bastien H?lie, Ph.D. Associate Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 / DLR 331 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ ---------------------------------------------------------------- From boris.gutkin at ens.fr Mon Nov 23 06:46:21 2020 From: boris.gutkin at ens.fr (boris gutkin) Date: Mon, 23 Nov 2020 12:46:21 +0100 Subject: Connectionists: Call for Abstracts: CCCP20:Cross-Language Interplay in a Bilingual Mind and iBrain Symposium. Dec 10-12 2020 Message-ID: <53D18A18-1032-4B0C-A2FE-944A002316A3@ens.fr> December 12th, ERASMUS I-Brain MiniSymposium in cognitive neuroscience ? Call for abstracts Institute for Cognitive Neuroscience, Higher School of Economics (Moscow, Russia) in a collaboration with the Group for Neural Theory, Ecole Normale Sup?rieure (Paris, France) and BITS (Goa, India) announce the online I-Brain MiniSymposium in cognitive neuroscience, sponsored by I-Brain Erasmus project (http://ibrain.eu/). This event gives junior scientists from different research areas the opportunity to present their work in an interactive and constructive environment and to actively engage in discussions with other scientists. The I-Brain event includes two interactive poster sessions and a roundtable for discussion: Poster Session 1: Cognitive Neuroscience Poster Session 2: Bilingual Mind Roundtable: Data Issues in cognitive science. Participation in the I-Brain event is free. Follow the link https://neuro.hse.ru/cccp2020/cccp2020_registration/ to register and submit your abstract. Deadline for registration and abstract submission: 7th December. This event is part of the CCCP 2020 symposium (Cognition, Communication, Computation, and Perception), which this year is focused on the topic "Cross-Language Interplay in a Bilingual Mind". CCCP 2020 will take place online on 10-11 December 2020. KEYNOTES for CCCP-2020: ? Barbara K?pke (Octogone-Lordat, University of Toulouse, UT2). From cross-linguistic transfer to attrition. The whys and the whens ? Antonella Sorace (University of Edinburgh). The ecology of L2 learning and L1 change in bilingualism ? Arturo E. Hern?ndez (University of Houston). Sensorimotor plasticity and cognitive flexiblity: A Neuoremergentist approach ? Monika S. Schmid (University of Essex). 'Slipping through my fingers': under what circumstances do multilingual migrants lose or maintain their native language? ? Zohar Eviatar (University of Haifa). Reading in Different Languages: Early Differences and Late Similarities ? Marit Westergaard (UiT The Arctic University of Norway and NTNU Norwegian University of Science and Technology). Exploring bilingual effects on cognition through grammatical illusions Conference website including registration link: https://neuro.hse.ru/cccp2020/ Participation in the CCCP conference as listener is free but registration is mandatory. Registration deadline: DECEMBER 7th. Direct your questions or enquiries to the organizing committee at cccpsymposium2020 at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From habesm at gmail.com Mon Nov 23 16:15:33 2020 From: habesm at gmail.com (Mohamad Habes) Date: Mon, 23 Nov 2020 15:15:33 -0600 Subject: Connectionists: Postdoctoral Fellow Deep Learning (University of Texas Health San Antonio) Message-ID: Postdoctoral Fellow (University of Texas Health San Antonio) Are you excited about deep learning? Do you want to apply and develop deep learning methods to high dimensional neuroimaging data and make new discoveries which could advance our understanding of Alzheimer?s disease? We are looking for a postdoctoral fellow who is willing to research more deep and transfer learning methods in large cohort based studies. Alzheimer?s disease and other dementias are heterogeneous conditions, which makes differentiating between them and their subtypes very challenging. Our goal is to use neuroimaging data and deep learning to help uncover and detect specific pathologies and patterns emerging in early Alzheimer?s disease. In this position your challenge will be to develop new deep learning architectures and algorithms that allow current pathology detection and prediction of possible future disease trajectories. Your work environment will be the Neuroimage Analytics Laboratory (NAL, https://www.nallab.org) and the Biggs Institute Neuroimaging Core (BINC). We build advanced neuroimage analytical techniques to derive discovery. Data-driven approaches are of special interest in our lab, as machine learning and machine intelligence will guide the scientist towards the finding. On broader goal, our tools help delivering precise diagnostics on an individual?s level and ultimately could guide treatment progress. We are part of the Biggs Institute (https://biggsinstitute.org), which is being established as a flagship, free-standing institute within University of Texas Health San Antonio (UTHSA), with the mission of establishing an interdisciplinary, integrated program to provide comprehensive clinical care and undertake innovative and important research into the prevention and treatment of Alzheimer?s Disease and other neurodegenerative conditions, including vascular contributions to dementia, Parkinson?s disease and frontotemporal dementia. It has strong institutional and community support and will benefit from existing resources within UTHSA such as the Barshop Institute for Longevity and Aging Studies, the Center for Biomedical Neuroscience, the School of Nursing, the Cancer Center, and the Research Imaging Institute along with the San Antonio campus of the UT Health Houston School of Public Health. Responsibilities ? Develop, test and validate novel architectures and algorithms for deep learning with neuroimaging data ? Apply your validated methods to large scale research and real life everyday clinical routine neuroimaging data ? Willingness to work in teams, within NAL, BINC and Biggs and with national and international collaborators ? Communicate your research results to the larger communities through publications in international conferences and journals ? Work with great deal of independence in achieving research goals Requirements ? A PhD degree in Artificial Intelligence, Machine Learning, Computer Vision or Medical Image Analytics with solid experience in deep learning; Experience in Neuroimaging and Dementia Research is a plus. ? Great eagerness to solve scientific problems ? Strong programming skills, e.g. in Python, R, C++ and Java. Experience with Python deep learning toolboxes and high-performance computational facilities could be a plus; ? Excellent record of publishing in relevant high-quality journals in the above fields ? Excellent communication abilities in English; spoken and written. If interested, please send a copy of your CV to Dr. Habes (habes at uthscsa.edu ) ---- Mohamad Habes, Ph.D. Assistant Professor, Departments of Radiology and Epidemiology Director, Neuroimage Analytics Laboratory (NAL) Director, Biggs Institute Neuroimaging Core (BINC) Glenn Biggs Institute for Alzheimer?s & Neurodegenerative Diseases Director, Biomedical Image Analytics Division (BIAD) Research Imaging Institute University of Texas Health Science Center San Antonio (UTHSCSA) 7703 Floyd Curl Drive, San Antonio, Texas 78229 (Phone) +1 210-450-8416 (Email) habes at uthscsa.edu Adjunct Assistant Professor, Department of Radiology University of Pennsylvania 3700 Hamilton Walk, Philadelphia, Pennsylvania 19104 (Email) habesm at upenn.edu https://www.nallab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From 2089166D at student.gla.ac.uk Mon Nov 23 16:25:16 2020 From: 2089166D at student.gla.ac.uk (Sama Daryanavard (PGR)) Date: Mon, 23 Nov 2020 21:25:16 +0000 Subject: Connectionists: Closed-Loop Deep Learning with Robotics, NECO Vol 32, No 11 Message-ID: Dear Colleagues, In our paper we present Closed-Loop Deep Learning which combines the power of deep learning and classical control to create an efficient analogue multi-layered fast learning paradigm, for robotic navigation. At the heart of this algorithm is an error signal that arises from a reflex which is delicately used to both drive the closed loop system and train the deep learner simultaneously. Through mathematical derivation in z-space we show how to implement back-propagation in a closed-loop system. Preprint: https://arxiv.org/abs/2001.02970 Neural Computation (final version): https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01317?journalCode=neco Please do not hesitate to get in touch for a copy of the paper and to discuss your thoughts. Warmest Regards, Sama Daryanavard Dr Bernd Porr Biomedical Engineering Division, School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe.cfp at gmail.com Tue Nov 24 06:27:28 2020 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Tue, 24 Nov 2020 12:27:28 +0100 Subject: Connectionists: OLA'2021 - International Conference on Optimization and Learning Message-ID: <34E5ACA6-8273-4782-935F-72FF910156F4@gmail.com> **************************************************************** OLA'2021 International Conference on Optimization and Learning 21-23 June 2021 Catania (Sicilia), Italy http://ola2021.sciencesconf.org/ **************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... * Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages * Important dates: =============== Invited session organization Dec 18, 2020 Paper submission deadline Dec 18, 2020 Notification of acceptance March 24, 2021 * Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference. * Conference Steering Committee Chair El-Ghazali Talbi (Univ. Lille & INRIA, France) * Conference Chairs Mario Pavone (Univ. Catania, Italy) Lionel Amodeo (UTT, France) * Conference Program Chairs Bernab? Dorronsoro (Univ. Cadiz, Spain) Vincenzo Cutello (Univ. Catania, Italy) * Organization Committee Rocco A. Scollo (Univ. Catania, Italy) Antonio M. Spampinato (Univ. Catania, Italy) Georgia Fargetta (Univ. Catania, Italy) Carolina Crespi (Univ. Catania, Italy) Jeremy Sadet (Univ. Lille, France) Rachid Ellaia (EMI, Morocco) * Publicity Chairs Juan J. Durillo (Leibniz Supercomputing Center, Germany) Gr?goire Danoy (Univ. Luxembourg, Luxembourg) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bisant at umbc.edu Tue Nov 24 14:12:58 2020 From: bisant at umbc.edu (David B) Date: Tue, 24 Nov 2020 14:12:58 -0500 Subject: Connectionists: CFP: FLAIRS 2021 Special Track Neural Nets and Datamining, May 16-19, N Miami Beach, FL Message-ID: Covid Update: FLAIRS will virtualize some or all of the conference, as necessary. FLAIRS is an interdisciplinary conference featuring a double-blind review and free tutorials, sponsored by the Association for the Advancement of Artificial Intelligence (AAAI) www.FLAIRS-34.info May 16-19, 2021 DoubleTree Ocean Point Resort & Spa, North Miami Beach, Florida, USA Paper submission deadline: February 16, 2021 This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Who might be interested? Papers and contributions are encouraged for any work related to Neural Networks and Data Mining. What kind of studies will be of interest? This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy LogicApplications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Feature extraction and selection. 5. Post-processing techniques such as visualization, summarization, or trending. 6. Preprocessing and data reduction. 7. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Track Co-Chairs: David Bisant, Central Security Svcs, bisant at umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein at gmail.com William Eberle, Tennessee Tech University, weberle at tntech.edu Submission Instructions Submitted papers must be original, and not submitted concurrently to a journal or another conference. Full oral presentation papers may be up to 6 pages, short poster presentation papers up to 4 pages, and abstract only poster presentations up to 250 words. Submissions for special tracks, workshops, tutorials, and discussion panels are also welcome. Papers must be in AAAI format, and submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site http://www.flairs-34.info/. The proceedings of FLAIRS-34 will be published by Florida Online Journals (https://journals.flvc.org/). In order for a paper to be published in the proceedings, the paper must be accompanied by at least one AUTHOR REGISTRATION. It is also expected that for a full (i.e., maximum 6-page) paper, at least one of the authors will attend the conference to present their work. In order for a poster to be presented at the conference, it must also be accompanied by an AUTHOR REGISTRATION. Organization Conference Chair: Keith Brawner, Army Research Lab, USA Roman Bart?k, Charles University, Czech Republic Program Co-Chairs: Eric Bell, USA Fazel Keshtkar, St John?s University, USA From nk3954 at princeton.edu Tue Nov 24 10:58:15 2020 From: nk3954 at princeton.edu (Nichol W. Killian) Date: Tue, 24 Nov 2020 15:58:15 +0000 Subject: Connectionists: Assistant Professor level (tenure track), in all areas of neuroscience, including cellular, molecular, systems, behavioral, computational, and developmental at Princeton Neuroscience Institute Message-ID: The Princeton Neuroscience Institute invites applications at the Assistant Professor level (tenure track), in all areas of neuroscience, including cellular, molecular, systems, behavioral, computational, and developmental. We encourage both theoreticians and experimentalists to apply. The Institute is highly collaborative and is especially interested in candidates who can contribute to the diversity and excellence of our academic community. In addition to other outstanding neuroscience resources at Princeton, the Institute is housed in a recently constructed 248,000 square foot building with state-of-the-art computing resources for modeling and data analysis, as well as support for the full range of neuroscientific methods, including cellular and circuit level imaging and recording in animal model systems, human brain imaging, and studies in non-human primates. Key selection criteria will include research track record, originality of science, and anticipated impact on the field of neuroscience and related disciplines. We strongly encourage applications from individuals who identify as members of groups that are underrepresented in science. Applicants should be prepared to teach courses both at the undergraduate and graduate levels. Applicants must apply online and include a cover letter, curriculum vitae, a brief summary of current and proposed research, and contact information for at least three references. Candidates are welcome to include a brief statement of how they can help us foster diversity, equity and inclusion at Princeton. For fullest consideration, materials should be received by December 7, 2020. Princeton offers a range of services and resources to promote the health and well-being of faculty members and their families in support of work-life balance and childcare. Apply here. Nichol Killian Research Project Coordinator Princeton Neuroscience Institute Princeton University -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Nov 24 15:30:20 2020 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 24 Nov 2020 20:30:20 +0000 Subject: Connectionists: NEURAL NETWORKS, Dec. 2020 Message-ID: Neural Networks - Volume 132, December 2020 https://www.journals.elsevier.com/neural-networks Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, ... Qing He Quantum-like influence diagrams for decision-making Catarina Moreira, Prayag Tiwari, Hari Mohan Pandey, Peter Bruza, Andreas Wichert Efficient search for informational cores in complex systems: Application to brain networks Jun Kitazono, Ryota Kanai, Masafumi Oizumi Learning to select actions shapes recurrent dynamics in the corticostriatal system Christian D. Marton, Simon R. Schultz, Bruno B. Averbeck Self-grouping convolutional neural networks Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds Maxim S. Kovalev, Lev V. Utkin Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning Toshitaka Matsuki, Katsunari Shibata Event-driven control with critic learning for nonlinear systems Xiong Yang, Zhongke Gao, Jinhui Zhang Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, ... Qingyao Wu CariGAN: Caricature generation through weakly paired adversarial learning Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, ... Jiebo Luo Improved dual-scale residual network for image super-resolution Huan Liu, Feilong Cao Emotional EEG classification using connectivity features and convolutional neural networks Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences Weihua He, YuJie Wu, Lei Deng, Guoqi Li, ... Yuan Xie Learning image features with fewer labels using a semi-supervised deep convolutional network Fernando P. dos Santos, Cemre Zor, Josef Kittler, Moacir A. Ponti Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection Weiying Xie, Yunsong Li, Jie Lei, Jian Yang, ... Zhen Li Frequency-dependent organization of the brain's functional network through delayed-interactions Abolfazl Ziaeemehr, Mina Zarei, Alireza Valizadeh, Claudio R. Mirasso MGAT: Multi-view Graph Attention Networks Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han Low-rank tensor constrained co-regularized multi-view spectral clustering Huiling Xu, Xiangdong Zhang, Wei Xia, Quanxue Gao, Xinbo Gao Analysis of the transferability and robustness of GANs evolved for Pareto set approximations Unai Garciarena, Alexander Mendiburu, Roberto Santana Hybrid tensor decomposition in neural network compression Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, ... Baiying Lei Multi-label zero-shot learning with graph convolutional networks Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang High-content image generation for drug discovery using generative adversarial networks Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, ... Amit Singhal Dual-regression model for visual tracking Xin Li, Qiao Liu, Nana Fan, Zikun Zhou, ... Xiao-yuan Jing Deconvolutional neural network for image super-resolution Feilong Cao, Kaixuan Yao, Jiye Liang Neurodynamical classifiers with low model complexity Himanshu Pant, Sumit Soman, Jayadeva, Amit Bhaya On the robustness of skeleton detection against adversarial attacks Xiuxiu Bai, Ming Yang, Zhe Liu High-dimensional dynamics of generalization error in neural networks Madhu S. Advani, Andrew M. Saxe, Haim Sompolinsky Latent Dirichlet allocation based generative adversarial networks Lili Pan, Shen Cheng, Jian Liu, Peijun Tang, ... Zenglin Xu Lower dimensional kernels for video discriminators Emmanuel Kahembwe, Subramanian Ramamoorthy H_infinity and l_2 - l_infinity state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol Hongjian Liu, Zidong Wang, Weiyin Fei, Jiahui Li SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, George Em Karniadakis Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach Shuai Liu, Zidong Wang, Yun Chen, Guoliang Wei Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran A direct approach for function approximation on data defined manifolds H.N. Mhaskar Boundary Mittag-Leffler stabilization of fractional reaction-diffusion cellular neural networks Xiao-Zhen Liu, Ze-Tao Li, Kai-Ning Wu Exponential synchronization of neural networks with time-varying delays and stochastic impulses Yifan Sun, Lulu Li, Xiaoyang Liu Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays Huiyuan Li, Jian-an Fang, Xiaofan Li, Leszek Rutkowski, Tingwen Huang An improved Lyapunov functional with application to stability of Cohen-Grossberg neural networks of neutral-type with multiple delays Ozlem Faydasicok High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans Mohammad Hamghalam, Tianfu Wang, Baiying Lei Real-time gun detection in CCTV: An open problem Jose L. Salazar Gonzalez, Carlos Zaccaro, Juan A. Alvarez-Garcia, Luis M. Soria Morillo, Fernando Sancho Caparrini AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images Hai Xie, Haijun Lei, Xianlu Zeng, Yejun He, ... Baiying Lei Human interaction behavior modeling using Generative Adversarial Networks Yusuke Nishimura, Yutaka Nakamura, Hiroshi Ishiguro -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.petrone at gmail.com Tue Nov 24 10:59:16 2020 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Tue, 24 Nov 2020 16:59:16 +0100 Subject: Connectionists: OLA'2021 - International Conference on Optimization and Learning, 21-23 June 2021, Catania-Italy Message-ID: **************************************************************** OLA'2021 International Conference on Optimization and Learning 21-23 June 2021 Catania (Sicilia), Italy http://ola2021.sciencesconf.org/ **************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... * Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages * Important dates: =============== Invited session organization Dec 18, 2020 Paper submission deadline Dec 18, 2020 Notification of acceptance March 24, 2021 * Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference. * Conference Steering Committee Chair El-Ghazali Talbi (Univ. Lille & INRIA, France) * Conference Chairs Mario Pavone (Univ. Catania, Italy) Lionel Amodeo (UTT, France) * Conference Program Chairs Bernab? Dorronsoro (Univ. Cadiz, Spain) Vincenzo Cutello (Univ. Catania, Italy) * Organization Committee Rocco A. Scollo (Univ. Catania, Italy) Antonio M. Spampinato (Univ. Catania, Italy) Georgia Fargetta (Univ. Catania, Italy) Carolina Crespi (Univ. Catania, Italy) Jeremy Sadet (Univ. Lille, France) Rachid Ellaia (EMI, Morocco) * Publicity Chairs Juan J. Durillo (Leibniz Supercomputing Center, Germany) Gr?goire Danoy (Univ. Luxembourg, Luxembourg)z -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Tue Nov 24 10:14:51 2020 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 24 Nov 2020 16:14:51 +0100 Subject: Connectionists: Special track on Explainable Machine Learning models in Medical Imaging @CBMS 2021 Message-ID: [Apologies for cross-posting] Call for papers Special track on Explainable Machine Learning models in Medical Imaging Computational medical imaging techniques aim towards enhancing the diagnostic performance of visual assessments in medical imaging, improving the early diagnosis of various diseases, helping to obtain a deeper understanding of physiology and pathology, and therefore contributing to advance the field of Quantitative Radiology. To reach these goals, medical image computing and signal processing are commonly combined with biophysical models, which describe explicitly the organ or tissue under investigation. Machine Learning (ML) models revolutionised multiple tasks in medical image computing, such as image segmentation, registration and synthesis, through the extensive analysis of big imaging data. Although ML models outperform classic approaches on the above tasks, they remain to a large extend implicit in terms of describing the data under investigation. This limits ML model interpretability, which in turn is one of the main barriers towards ML-based pathology detection assessments and generalised single- or multi-modal ML analysis in medical imaging. Moreover, in modern clinical practices and settings, detailed explanations of the model behaviours are increasingly required to support reliability towards improving clinical decision making. Model explainability becomes also critical when data integration techniques are required to cross-assess learning performance from imaging data against mutual, complementary or ?clinical reference standard? information from ?additional modalities? (either imaging, or other types of biomedical/clinical data such as invasive methods or *ex vivo *analysis, and/or other). To support further development of ML models for clinical applications, model explainability is highly important towards enhancing generalisability, trustworthiness, causality, transferability, informativeness, confidence, accessibility and interactivity. Last not least, being of the most promising topics in ML/medical imaging research, the main challenge for developing explainable models is to improve explainability whilst maintaining high learning performances. The main objective of this special issue is to attract original high-quality research and survey articles that reflect the most recent advanced on explainable ML models in medical imaging (MRI, CT, PET, SPECT, Ultrasound and other), by investigating novel methodologies either through interpreting algorithm components and/or exploring algorithm-data relationships. We welcome researchers from both academia and industry, to present their state-of- the-art scientific developments, technologies, and ideas covering all possible aspects of explainable ML models in medical imaging. Topics of interest include (but are not limited to): ? Develop and interpret ML models in single- or multi-modal (MRI, CT, Ultrasound, PET, SPECT) imaging (using either single- or multiple-inputs and thus, biophysical information) ? To improve explainability, combine ML with biophysical modelling and/or visual assessments from additional/complementary imaging modalities (e.g. multiple sequences in MRI, or combining MRI with Ultrasound, CT, PET or SPECT) ? To improve explainability, combine ML with other types of ?reference standard? input data (e.g. clinical data, electrophysiology signals, molecular analysis, invasive methods) that can enhance ML interpretability in medical imaging ? Enhance explainability through combining multiple tasks (e.g. segmentation and/ or image synthesis)/ Multi-task learning on multi-modality medical images ? Enhance explainability by incorporating graphical deep learning models for single- or multi-modality image analysis ? Solidify explainability in cross-domain image synthesis between different imaging modalities or sequences (e.g. from different MRI sequences, or MRI and CT, etc.) ? Transfer learning and transferability for single- or multi-modality medical images ? ML model explainability in semi-supervised, weakly-supervised and unsupervised learning in medical imaging ? Post-hoc explainability techniques for ML models in single- or multi-modality images ? Enhance explainability through developing ML models to detect or predict pathology versus healthy statuses ? Explain strengths and weaknesses of ML models through quantitative evaluation and interpretation of algorithm performances Paper submission guidelines Authors are invited to submit their original contributions before the deadline following the conference submission guidelines. Each contribution must be prepared following the IEEE two-column format, and should not exceed the length of 6 (six) Letter-sized pages. For detailed instructions please visit: https://cbms2021.web.ua.pt/ All submissions will be peer-reviewed by three reviewers of the Program Committee. All accepted papers will be included in the conference proceedings, and will be published by the IEEE. For each accepted paper, at least one author must register at the conference before the Author Registration Deadline. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of their authors. If the paper is not presented at the conference, it will not be included in the proceedings. Authors of the best papers will be invited to submit an extended contribution to a journal special issue. Important dates ? *Paper submission deadline: *February 5, 2021 ? *Notification of acceptance:* March 26, 2021 ? *Camera-ready due:* April 16, 2021 ? *Registration* ? *Early registration deadline:* April 16, 2021 ? *Conference: *June 7, 2021 More information Webpage: https://essexnlip.uk/cbms2021/ Special Track Chairs ? Dr Giorgos Papanastasiou , University of Essex, UK [g.papanastasiou(at)essex.ac.uk] ? Dr Alba Garc?a Seco de Herrera , University of Essex, UK [alba.garcia(at)essex.ac.uk] ? Dr Chengjia Wang , University of Edinburgh, UK [Chengjia.Wang(at)ed.ac.uk] ? Professor Heye Zhang, Sun Yat-sen University, China [ZhangHeye(at) mail.sysu.edu.cn] ? Dr Guang Yang , Imperial College London, UK [G.Yang(at)imperial.ac.uk] Program committee members Sotirios A. Tsaftaris, University of Edinburgh, UK Gabriele Valvano, IMT Lucca, Italy Victor Gonzalez-Castro, University of Leon, Spain Lin Gu, RIKEN AIP, University of Tokyo, Japan Hao Dong, Peking University, China Zhangming Niu, Aladdin Healthcare Technologies, Germany Chunliang Wang, KTH Royal Institute of Technology, Sweden Sivarama Krishan Rajaraman, NIH/NLM, USA Emanuele Trucco, University of Dundee, UK George Matsopoulos, National Technical University of Athens, Greece David Rodriguez Gonzalez, University of Cantabria, Spain Sammy Danso, University of Edinburgh Xurui Jin, Duke Kunshan University, China-USA Adrian Clark, University of Essex, UK Adrian Mart?n Fern?ndez, Pompeu Fabra University, Spain Eirini Christinaki, KU Leuven, Belgium Oscar Jim?nez del Toro, University of Applied Sciences Western Switzerland, Switzerland Rakkrit Duangsoithong, Prince of Songkla University, Thailand Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? https://www.essex.ac.uk/ WE ARE ESSEX -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Tue Nov 24 12:18:41 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Tue, 24 Nov 2020 18:18:41 +0100 Subject: Connectionists: =?utf-8?q?Master=27s_thesis_in_Codag_research_gro?= =?utf-8?q?up=2C_Universit=C3=A9_de_Caen_Normandie?= Message-ID: An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Thu Nov 26 03:31:53 2020 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Thu, 26 Nov 2020 09:31:53 +0100 Subject: Connectionists: last CFP OLA'2021 @Sicilia Italy Message-ID: <753001aa-4f5f-dff7-5076-56fe5f8ccefb@univ-lille.fr> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ????????????????????????? OLA'2021 ????????? International Conference on Optimization and Learning ????????????????????????? 21-23 June 2021 ????????????????????? Catania (Sicilia), Italy ??????????????? http://ola2021.sciencesconf.org/ **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -?????? S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -?????? S2: Original research contributions of a maximum of 10 pages Important dates: =============== Invited session organization? Dec 18, 2020 Paper submission deadline???? Dec 18, 2020 Notification of acceptance??? March 24, 2021 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference. -- *********************************************************************** OLA'2021 International Conference on Optimization and Learning 23-25 June 2021, Catania, Italy http://ola2021.sciencesconf.org *********************************************************************** ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com From hava.siegelmann at gmail.com Wed Nov 25 12:39:36 2020 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Wed, 25 Nov 2020 12:39:36 -0500 Subject: Connectionists: POST-DOC in Lifelong Learning Message-ID: The Siegelmann BINDS lab at UMass, Amherst is doing cutting edge research in the field of next generation AI systems; the work focuses on developing intelligent systems that learn in real time and apply learning to new, never before encountered situations. Much of the work is biologically inspired. Lab director, Hava Siegelmann just finished a four-year stint at DARPA where she directed some of the most advanced work in this area in one of the agency?s largest AI programs. BINDS is now hiring Post-Docs in the area of advanced machine learning for this research, with focus on time aware ML. Applicants should have a strong backgrounds and abilities in: 1. Machine Learning foundations 2. Memory ? neuroscience 3. Interest in lifelong learning, temporal processing, 4. Interest in time aware machine intelligence The position can start in January 2021. Please contact the PI directly: Hava Siegelmann at hava at cs.umass.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Thu Nov 26 04:27:09 2020 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Thu, 26 Nov 2020 09:27:09 +0000 Subject: Connectionists: Research Associate/Research Fellow in Connected Autonomous Vehicle Simulation for Safety Assurance Message-ID: Research Associate/Research Fellow in Connected Autonomous Vehicle Simulation for Safety Assurance Full Description of post and application via: https://bit.ly/3kZ8kh2 Location:?????????????????????????? Frenchay Campus, Bristol, UK Job reference???????????????????? R01866 Hours:?????????????????????????????? Full Time Contract Type:?????????????????? Fixed-Term/Contract for 12 months Application closing date??? 23/12/2020 Salary??????????????????????????????? Grade F salary - ?30,046-?33,797 & Grade G salary - ?33,797-?35,845. Job Type??????????????????????????? Academic, Research About us and the context: Bristol Robotics Laboratory (BRL) is the most comprehensive academic centre for multi-disciplinary robotics research in the UK. It is a collaborative partnership between the University of the West of England (UWE Bristol) and the University of Bristol, and home to a vibrant community of over 250 academics, researchers and industry practitioners. Together, they are world leaders in current thinking on service robotics, intelligent autonomous systems and bio-engineering. The state-of-the-art facilities covers an area of over 3,500 sq. metres (over 37,000 sq. feet) and BRL is an internationally recognised Centre of Excellence in Robotics. This post is for a UWE Bristol researcher role. We are looking to appoint at either the level of Research Associate or at Research Fellow. The latter is a more senior appointment level but the post holder will be part of a large project team and we will adjust the expected level of work output and of managerial supervision to suit the level at which we appoint. UWE Bristol is an ambitious university. Together, our people are working hard to advance knowledge, inspire people and transform futures. At either appointment level, we are looking for people with the skills and ambition to help us achieve those aims. The Innovate UK funded CAV Forth project is motivated by the opportunity to gain significant socioeconomic benefit in the Public Service Vehicle sector by automation of a bus service. The prime objective of the project, therefore, is to evaluate a commercially operational extended pilot service involving buses that will be either partially or fully autonomously (with supervision) over a 10-mile route, taking passengers across the Forth Bridge near Edinburgh. One of our main contributions to the project overall, is to build on expertise developed in collaboration with researchers at the University of Bristol during previous Connected Autonomous Vehicle (CAV) projects, to develop a simulation-based test-bench for the route using state-of-the-art vehicle simulator software and hardware. Using simulation, we are designing scenarios that stretch the vehicle?s control systems and, where it is important to do so, test human participants? reactions to selected scenarios. Clearly these situations can be much more easily varied in a known way so as to identify more critical scenario conditions than those which can safely be tested in the real world. The project is part way through its execution period and this limits the period of employment to 12 months. About you: Although there will be significant interaction with those at BRL and others working on the CAV-Forth project, this position is focused predominantly on developing and using the simulation platform to investigate and discover the, so called, ?corner cases? (the most safety-critical situations) that need to be tested in the real-world, and to carry out simulator-based tests with participants. Thus, we will guide the focus for, and maximise the benefits from, the expensive and risky real-world testing to be carried out prior to implementing the 20-mile pilot driving route. To achieve this, you will utilise the results of recent research, carried out in Bristol, on simulation-based verification and validation techniques for autonomous vehicles. You will focus, in collaboration with the CAV-Forth partners, on a variety of autonomy functions and use case scenarios. More details of required or desirable knowledge, expertise, skills, job purpose and responsibilities for each of the two levels of appointment can be found in the Job Descriptions associated with this advertisement. In addition to progressive pay rates, UWE Bristol offers a wide range of staff benefits including: ??????? a generous holiday allowance ??????? ? up to 12.5 bank holiday/closure days per year in addition ??????? ? flexible working ??????? ? excellent defined benefit pension schemes ??????? ? option to participate in the cycle to work scheme ??????? ? family friendly policies ??????? ? onsite nursery at our Frenchay Campus. This post is based in the Bristol Robotics Laboratory that is situated at our lively Frenchay campus where we have invested in the latest facilities and resources to give our students access to everything they need to succeed ? with ?300m having been spent recently on new state-of-the-art learning spaces and accommodation to enhance our offer even further. Frenchay campus is within close proximity to excellent motorway links and within walking distance of two train stations, making UWE Frenchay Campus the ideal place to work for those wishing to commute to Bristol. Further information: This is a full time, fixed term contract for 12 months and not available on a job share basis, due to the tight interlinked nature of the project?s goals and inter-partner schedule. If you would like an informal discussion, please contact Prof. Tony Pipe at: Tony.Pipe at brl.ac.uk. UWE is committed to supporting and promoting equality and diversity to create an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who share our ambition to be a university recognised for the success and impact of our practice-oriented programmes; our strong industry networks and our inclusive global outlook. From 1 January 2021 we will be able to sponsor candidates for this role under the Home Office Tier 2 Points Based System (skilled worker route). Please read the attached guide at the full application link on the new criteria to assess if you will be eligible to be sponsored under the criteria. Please also refer to the Home Office Right to Work Checklist which provides details of which documents are acceptable. Should you be shortlisted you will be asked to bring your right to work documents with you to your interview so they can be copied and verified at that stage. The interviews are planned for early January 2021. -- ? Tony Pipe, Professor of Robotics and Autonomous Systems Bristol Robotics Laboratory T-Building University of the West of England Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 -------------- next part -------------- An HTML attachment was scrubbed... URL: From yoram.burak at elsc.huji.ac.il Wed Nov 25 12:57:48 2020 From: yoram.burak at elsc.huji.ac.il (Yoram Burak) Date: Wed, 25 Nov 2020 19:57:48 +0200 Subject: Connectionists: The KiloNeurons ERC project: post-doctoral and PhD research positions in theoretical neuroscience Message-ID: The Burak Lab at the Hebrew University is recruiting *post-doctoral research associates* and *graduate students* in theoretical neuroscience to take part in an *ERC Synergy* research project led by Edvard Moser (NTNU) and Yoram Burak (HUJI). The ?10M *KiloNeurons* project is a collaborative endeavor bringing together theoretical and experimental researchers from the two labs, aiming to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. Team members at HUJI will develop theories of neural network dynamics and methodologies for interpretation of large scale neural recordings. Experimental data will be collected in the Moser Lab, and analyzed in close collaboration between the labs. Research will be conducted at the *Edmond and Lily Safra Center for Brain Sciences*, offering a superb intellectual environment for interdisciplinary brain research, with a strong emphasis on systems and computational neuroscience. The Burak Lab is affiliated also with the *Racah Institute of Physics*. Extensive interaction, including research visits, will take place with the *Kavli Institute for Systems Neuroscience* (Trondheim, Norway). *Postdoctoral research positions* Candidates for postdoctoral positions must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as familiarity with research in computational neuroscience are advantageous, but not individually required. We are looking for candidates with excellent abilities in theoretical research, strong intellectual curiosity and drive, and an interest in relating theory to experimental data. *To apply for postdoctoral research positions*Please send the following information to yoram.burak at elsc.huji.ac.il in a *single PDF file*: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references Please include the text 'POSTDOC_APPLICATION' in the subject header of the email. *Deadline*: For full consideration, applications must be received by December 21, 2020. *Graduate student positions*Candidates for graduate student positions must have an excellent record from their undergraduate studies in physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. We are looking for candidates with an excellent ability to learn new topics and with superb intellectual curiosity and drive. Students can join through the physics Ph.D. program at the Racah Institute of Physics, or the Ph.D. program in brain sciences at the Edmond and Lily Safra Center. Other graduate study programs at the Hebrew University may be appropriate, depending on the background of the candidate. *To apply for graduate student positions*Please send the following information to yoram.burak at elsc.huji.ac.il in a* single PDF file*: 1. Curriculum vitae 2. Grade transcripts from undergraduate studies and, if applicable, M.Sc. studies 3. Brief statement (up to one page) describing why you would like to join the project as a graduate student 4. M.Sc. graduates: please provide the names and contact details of two references Please include the text 'PHD_APPLICATION' in the subject header of the email. *Deadline*: University deadlines and possible starting dates depend on the specific program joined. For full consideration in this search please apply by December 21, 2020. *See also*: https://www.buraklab.me/kiloneurons https://sciencebusiness.net/network-updates/ntnu-eu10m-erc-synergy-grant-norwegian-israeli-international-project-brain-research -------------- next part -------------- An HTML attachment was scrubbed... URL: From jgmakin at gmail.com Wed Nov 25 13:51:22 2020 From: jgmakin at gmail.com (J.G. Makin) Date: Wed, 25 Nov 2020 13:51:22 -0500 Subject: Connectionists: Postdoctoral fellowship in computational neuroscience at Purdue Engineering Message-ID: <188821a4-93c9-9ec7-5eeb-92d0edcb1175@gmail.com> tl;dr: *Graduate students* with backgrounds in engineering/computer science/related disciplines and an interest in neuroscience are *encouraged to apply for a postdoctoral fellowship* at Purdue University to investigate the basis of *sensorimotor computations* using a mixture of theory and experiments in rodents and humans. *DEADLINE FOR APPLICATION IS DECEMBER 4th*. Long version: The goal of the Lillian Gilbreth Postdoctoral Fellowship Program at Purdue Engineering is to attract and prepare outstanding individuals with recently awarded PhDs for a career in engineering academia through interdisciplinary research, training, and professional development. Profs. Joseph Makin (ECE) and Maria Dadarlat (BME) are soliciting applicants to develop a proposal based on the following topic: How does the brain use sensory (visual, tactile, proprioceptive) information to move around in and manipulate the world? How are the "algorithms" underlying these behaviors implemented in neural circuits? And what can we do when something goes wrong? Answering some of the most fundamental questions about how the brain works, like these, is now becoming feasible due to improved electrodes and to the ability to record with them from human patients. But making sense of experimental data will require, in addition to expertise in neuroscience, a theoretical framework and analytical tools, both of which increasingly come from electrical engineering and computer science. In this project, the postdoc would collaborate with faculty in the ECE and BME departments, and with neurosurgeons (our external collaborators), to devise and test computational theories of neural function, including: designing experiments, analyzing data, formulating and simulating mathematical models, and improving algorithms. We are particularly interested in problems of sensorimotor processing, including applications to brain-machine interfaces; and the postdoc would be expected to draw on basic neurobiology, control theory, and statistical learning theory. For more information, see: https://engineering.purdue.edu/Engr/Research/GilbrethFellowships https://engineering.purdue.edu/Engr/Research/GilbrethFellowships/ResearchProposals/2021-22/sensorimotor-processing-in-the-human-brain-theory-computation-and-experiment https://engineering.purdue.edu/MakinLab https://www.purdue.edu/gradschool/pulse/groups/profiles/faculty/dadarlat.html or contact me (Joseph Makin) directly (jgmakin at purdue.edu). -- Joseph Makin Assistant Professor Electrical and Computer Engineering Purdue University -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.deKamps at leeds.ac.uk Thu Nov 26 08:25:54 2020 From: M.deKamps at leeds.ac.uk (Marc de Kamps) Date: Thu, 26 Nov 2020 13:25:54 +0000 Subject: Connectionists: =?windows-1252?q?Subject=3A_KTP_Associate_=96_Dat?= =?windows-1252?q?a_Scientist_/_Senior_Data_Scientist_=96_University_of_Le?= =?windows-1252?q?eds=2C_UK?= In-Reply-To: References: Message-ID: Subject: KTP Associate ? Data Scientist / Senior Data Scientist ? University of Leeds, UK KTP Associate ? Data Scientist / Senior Data Scientist ? University of Leeds, UK Do you have a background in Causal Inference, Advanced Statistics, Machine Learning or Bayesian Graph Models at PhD level? Are you an accomplished candidate with experience in advanced data analytics involving causal analysis? Do you want to work with a ground-breaking new company to develop a smart clinical reasoning tool using causal inference methods and AI? We have an opportunity for you to ?fast track? your career into industry by leading a strategically important data science project through to a successful proof of principle, ready for implementation. Through a Knowledge Transfer Partnership (KTP), you will be working in partnership with VET-AI Ltd. (https://www.vet-ai.com/) and the School of Computing (https://eps.leeds.ac.uk/computing) at one of the UK?s leading research intensive universities, with the prospect to lead the successful initiative through implementation within the company following the KTP. This is an excellent opportunity to translate your academic achievements within industry. VET-AI is a fast-growing, R&D company deploying cutting-edge machine learning and AI approaches to veterinary (vet) care. During 2019, the company won a string of prizes including Tech Nation Rising Stars 2019 and featured in Gizmodo, Daily Mirror, The Times, and many others. VET- AI?s strategic vision is to revolutionise the provision and access of vet services through digitisation, to improve animal health and welfare globally, and to positively impact the lives of vet professionals by enabling remote working. The aim of this KTP is to develop and deploy a clinical reasoning tool through a smartphone app that can effectively diagnose skin conditions in cats and dogs. You will be managing the development to establish proof-of-principle of this innovative diagnostic tool, and setting out a roadmap for embedding this tool within the VET-AI app to realise full commercialisation. You will be expected to work with an academic team from the University of Leeds with specialist knowledge in the fields of Causal Inference Statistics, Machine Learning and AI, and VET-AI?s clinical and business experts. You will be based at the company premises in Nexus (https://nexusleeds.co.uk/), University of Leeds, West Yorkshire and formally employed by the University of Leeds for the duration of the project (fixed period of 28 months). Remote working during the coronavirus pandemic may be necessary. Vet-AI has a liberal working culture and is focused on long-term goals, not day-to-day management. The company takes its employees? wellbeing very seriously and even has a Chief Happiness Officer. You will have freedom to work in your own way, and you will only be measured by the project outcomes. You will have access to a training and development package worth ?4,667, to be spent according to your needs and the project?s requirements, enabling you to work effectively on the KTP. Additionally, depending on restrictions related to Covid-19, you will attend two weeks residential KTP training (which may be delivered virtually during the coronavirus pandemic) to equip you with the skills and knowledge required to complete the project, for which time is allocated and funding provided. Contingent on successful proof-of-principle within the KTP, full implementation and evaluation of the diagnostic tool will be within the commercial setting of VET-AI through follow-on employment within VET-AI. Salary: ?40,000 to ?50,000 p.a. plus a training allowance of ?4,667; Full Time, Fixed Term (28 months) Closing Date: Sunday 3 January 2021 Apply online here: https://jobs.leeds.ac.uk/Vacancy.aspx?ref=CSRIS1168 To explore the post further or for any queries you may have, you may contact: Professor Mark Gilthorpe (University of Leeds) - m.s.gilthorpe at leeds.ac.uk Dr Adele Williams (Vet AI) - adele.williams at vet-ai.com ######################################################################## To unsubscribe from the CIIG list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CIIG&A=1 This message was issued to members of www.jiscmail.ac.uk/CIIG, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Wed Nov 25 17:41:01 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 25 Nov 2020 23:41:01 +0100 Subject: Connectionists: Post-doctoral position in interactive non-supervised and semi-supervised data mining Message-ID: An HTML attachment was scrubbed... URL: From pierre-yves.oudeyer at inria.fr Thu Nov 26 11:37:23 2020 From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer) Date: Thu, 26 Nov 2020 17:37:23 +0100 Subject: Connectionists: [jobs] Postdoc and internship position at AI Lab, Novaquark, Montreal (possibility for remote work) Message-ID: <3BA6BD7A-3DCF-4FD7-978B-CCB57666728B@inria.fr> Novaquark AI Lab, Postdoc or PhD-level internship open position Title: Intention modeling and joint attention for deep reinforcement learning agents interacting with non-expert caretakers Supervision: Jean-Christophe Baillie Team: Novaquark AI Lab, Montr?al Duration: 12-36 months for postdocs, 6 months for PhD-level internships, starting early 2021. Location: in Montr?al Lab, or in remote. Keywords: Deep reinforcement learning; language grounding; artificial curiosity; developmental AI; joint attention Details: https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view How to apply: contact ailab at novaquark.com with a CV and letter of motivation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From huiyu_kang at fudan.edu.cn Thu Nov 26 20:43:41 2020 From: huiyu_kang at fudan.edu.cn (Huiyu Kang) Date: Fri, 27 Nov 2020 09:43:41 +0800 Subject: Connectionists: Post-doc Position | Neural and Intelligence Engineering Center, Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China Message-ID: <5FC059CE.4420A1.08260@fudan.edu.cn> Post-doc Position | Neural and Intelligence Engineering Center, Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China Location Shanghai, China Salary ?250k ~400k+ /year ($35k~58k+ / year) Employment period 2 years initially, extendable up to 4 years Hours Full Time The positions are supported by Shanghai Government Key Project of ?Brain and Brain-inspired Intelligence? ($125 Millions), and are affiliated with the Neural and Intelligence Engineering Center led by Prof. Shouyan Wang, Vice-dean of Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University. The projects will collaborate with Huashan Hospital Fudan University, Beijing Tiantan Hospital Capital Medical University, The General Hospital of the People's Liberation Army, University of Oxford, University of Cambridge and Harvard University, etc. Research Projects: * EEG nerve signal processing, Brain-computer interface and Electrical nerve stimulation * Biomedical signal processing, Medical big data analysis and Telemedicine * Brain disease mechanism and clinical neurophysiology, Neuroimaging Qualifications: (1) Researchers who will receive PhD soon or graduated within last five years. (2) Under 35 years old. Excellent candidates aged 35 to 38 may be considered. (3) Research experience in machine learning, neural signal processing, biomedical electronics or neurophysiology in pain, movement disorders or depression, or related research experience in neuroscience or psychology. Benefits? 1. The initial employment period is 2 years and extendable up to 4 years according to project progress. 2. Salary is ?250k ~400k+ /year ($35k~58k+ / year). 3. Additional research funding up to $30k provided to support researchers with excellent ideas and independent capability. 4. Opportunities to top-up salaries up to $14k / year with grant from Shanghai Government. 5. Opportunities to have research visiting at University of Oxford, University of Cambridge or Harvard University. 6. Opportunities to transfer to faculty position with start-up of $72k~144k. 7. In accordance with the policies of Fudan University, assist children of the candidates to apply for admission to kindergartens or primary school affiliated to Fudan University. Application Procedure? Send CV with contact information of referees, cover letter and PDF of key publications to huiyu_kang at fudan.edu.cn with e-mail subject Post-doc Application Additional Information Fudan University is one of the top five universities in China, and ranked at #105 in Times Higher Education World University Ranking. ISTBI is a leading institute in brain-inspired artificial intelligence, neuroimaging, biomedical big data and neural engineering in China. More information can be found from https://www.fudan.edu.cn/en/ and https://istbi.fudan.edu.cn/lnen/. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristian.rodriguezrivero at gmail.com Fri Nov 27 06:10:46 2020 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Fri, 27 Nov 2020 12:10:46 +0100 Subject: Connectionists: CFP - Bayesian Time Series Forecasting - A special issue of Forecasting (ISSN 2571-9394) In-Reply-To: References: Message-ID: Special Issue "Bayesian Time Series Forecasting" *Journal Forecasting * (ISSN 2571-9394) Dear Colleagues, We invite you to submit your latest research to this Special Issue on the topic of Bayesian Time Series Forecasting. Since the early 1990s, the importance of Bayesian methods to the study of time series has increased rapidly. This has, no doubt, been ignited by an increase in appreciation for the advantages that Bayesian inference provides. It provides us with a formal way to incorporate the prior information before seeing the data in a natural manner, it fits perfectly with sequential learning and decision-making, and it directly leads to exact results from small samples. In addition, the Bayesian paradigm is particularly suited to prediction, since it takes into account all parameters and even model uncertainty. Nowadays, with the availability of large amounts of data, Bayesian analysis remains suitable for solving forecasting problems by combining all of the information and sources of uncertainty into a predictive distribution for future values. Dr. Cristian Rodriguez Rivero Dr. Leonardo Franco Dr. Julian Antonio Pucheta Dr. Hector Daniel Patino *Guest Editors* Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website . Once you are registered, click here to go to the submission form . Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. *Forecasting* is an international peer-reviewed open access quarterly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Keywords - Bayesian inference - Bayesian method - time series model - forecasting - machine learning - deep learning Deadline for manuscript submissions: 28 February 2021. We look forward to receiving your high-quality submissions!! Cristian Rodriguez Rivero, Ph.D., Electrical&Biomedical Engineer Faculteit der Natuurwetenschappen, Wiskunde en Informatica Universiteit van Amsterdam Science Park 904 - Room C2.159 - 1098 XH Amsterdam LA-CIS Board of Directors and Steering Committee (la-cci.org) e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar crodriguezrivero at ucdavis.edu , c.m.rodriguezrivero at uva.nl url: https://cristianrodriguezrivero.blogspot.com Cell: +31687697539 <%2B1%20%28530%29%20757-8827> ---------- Forwarded message --------- From: Cristian Rodriguez Rivero Date: Tue, Dec 3, 2019 at 5:14 PM Subject: CFP - Advances in Computational Intelligence for Applied Time Series Forecasting (ACIATSF) - IEEE WCCI 2020 To: <%2B1%20%28530%29%20757-8827> *CFP Special Session on: **Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF)* *Special Session on ?Advances in Computational Intelligence for applied Time Series Forecasting? (ACIATSF)* Link: http://www.inv.limac.efn.uncor.edu/?page_id=485 *International Joint Conference on Neural Networks (IJCNN 2020).**19 - 24th July, 2020, Glasgow (UK) * https://wcci2020.org/ijcnn- sessions / *Motivation* Over the past few decades, application of simple statistical procedures with considerable heuristic or judgmental input was the beginning of forecasting, then in the 80?s, sophisticated time series models started to be used by some of the dynamic system operators, and these approaches, were to become pioneering works in this field. Soft computing methods including support vectors regression (SVR), fuzzy inference system (FIS) and artificial neural networks (ANN) to time-series forecasting (TSF) has been growing rapidly in order to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision-making in many fields of the sciences. The purpose of this session is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions in the field of automatic control. There is generally a nominal registration fee associated with attendance. This session aims to debate in finding solutions for problems facing the field of forecasting. We wish to hear from people working in different research areas, practitioners, professionals and academicians involved in this problematic. *Scope* The session seeks to foster the presentation and discussion of innovative techniques, implementations and applications of different problems that are Forecasting involved, specially in real-world problems applied to control and automation. ? Time Series Analysis ? Time Series Forecasting ? Evaluation of Forecasting Methods and Approaches ? Forecasting Applications in Business, Energy and Price Demand, Hydrology and Rainfall ? Impact of Uncertainty on Decision Making ? Seasonal Adjustment ? Multivariate Time Series Modelling and Forecasting ? Marketing Forecasting ? Economic and Econometric Forecasting *Organizers:* Prof. Cristian Rodriguez Rivero, University of Amsterdam, c.m.rodriguezrivero at uva.nl, IEEE CIS, Co-Founder LA-CIS. Prof. Alvaro Orjuela Ca??n, Universidad del Rods, dorjuelaco at ieee.org, IEEE CIS, Co-Founder Board of Directors of LA-CIS. Prof. H?ctor Daniel Pati?o, Universidad Nacional de San Juan, Argentine, dpatino at inaut.unsj.edu.ar. IEEE CIS. Prof. Juli?n Antonio Pucheta, Universidad Nacional de C?rdoba, Argentine, jpucheta at efn.uncor.edu. Prof. Gustavo Juarez, Universidad Nacional de Tucum?n, Argentine, juarez.gustavo at ieee.org, IEEE CIS. Prof. Leonardo Franco, School of Engineering in Informatics, University of Malaga, Spain. lfranco at lcc.uma.es. IEEE CIS. *Submission guidelines and special issue:* Manuscripts should be prepared according to the standard format and page limit of regular papers according to the IEEE format. All submissions should follow the specifications of 2020 WCCI. Manuscripts will be submitted through the 2020 IEEE WCCI paper submission website and will be subject to the same peer-review procedure as the WCCI regular papers. Accepted contributions will be part of conference proceedings, which will be available in IEEEXplore. *Important Dates* Paper submission due: 15th Jan. 2020 Notification of acceptance: 15th Mar. 2020 Camera-ready deadline: 15th Apr. 2020 Author registration deadline: 15th Apr. 2020 *Paper Submission: * https://ieee-cis.org/ conferences / ijcnn2020 / upload. php *Information about IEEE WCCI 2020:* https://wcci2020.org/ We look forward to receiving your high-quality submissions and discussing in our meeting!! Cristian Rodriguez Rivero, Ph.D., EE Doctor in Engineering Sciences, Electrical & Biomedical Engineer. Faculty of Science, Mathematics and Computer Science University of Amsterdam LA-CIS Co-Founder, Board of Directors and Steering Committee (la-cci.org) Mathematics Research Laboratory applied to Control (LIMAC) National University of Cordoba *www.inv.limac.efn.uncor.edu/? page_id = 292 * , email: crodriguezrivero @ ieee. org , crivero at iua.edu.ar cmrodriguezrivero at uva.nl Cell: +31687697539 <%2B1%20%28530%29%20757-8827> <%2B1%20%28530%29%20757-8827> Virus-free. www.avg.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Fri Nov 27 12:31:12 2020 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Fri, 27 Nov 2020 12:31:12 -0500 Subject: Connectionists: Temporal Aware Machine Intelligence - hiring both postdoc and RAs - Massachusetts Message-ID: The Siegelmann BINDS lab at UMass, Amherst is hiring multiple research assistance and postdoc positions for a couple of projects: Project 1: ?Reconsolidation Temporal Neural Machine? focuses on temporal associative memories and a-synchronic computation with neural networks. (DARPA) Applying postdoc should have knowledge in many of the items below, RA should have knowledge is some of them: 1. Meta-learning algorithms (mandatory for postdoc) 2. Chains/circuits of oscillations (as in circadian system, engineering) 3. Consolidation and reconsolidating associative memory models 4. Episodic memory (mandatory for postdoc) 5. Generative replay 6. Lifelong Learning (mandatory for postdoc) 7. Computational complexity, finite automata, Turing machines, probabilistic/asynchronous computation 8. Neural Turing machines 9. Extremely well programming capabilities (both postdoc and RA) To apply, please contact the PI directly: Hava Siegelmann at hava at cs.umass.edu Please include: CV, statement of capabilities and experience, all published papers, 3 letters of recommendation, and anything you believe can help you to land the position. Project 2 will be described in a follow-up email -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.j.geras at nyu.edu Sat Nov 28 19:01:23 2020 From: k.j.geras at nyu.edu (Krzysztof Jerzy Geras) Date: Sat, 28 Nov 2020 19:01:23 -0500 Subject: Connectionists: Machine Learning Research Engineer position at NYU School of Medicine Message-ID: The Center for Biomedical Imaging and the Center for Advanced Imaging Innovation & Research (CAI2R) at NYU Langone Health are looking for a highly motivated Research Engineer to join our interdisciplinary group and help us build infrastructure for research on deep learning for medical image analysis. The engineer will support ongoing research and development of machine learning methods for medical imaging applications, such as ML methods for accelerated MRI [1, 2, 3], breast cancer detection [4, 5, 6] and musculoskeletal [7] and brain image [8,9,10] analysis. *Requirements include:* - Passion for engineering and research. - Dedication and attention to detail. - Ability to work in large interdisciplinary teams. - BS in computer science, mathematics, physics, electrical engineering or a related discipline. MS or PhD is a plus. - Expert skills in Python. Skills in PyTorch or Tensorflow are a plus. - Good skills in using Linux and tools such as git and Docker. - Practical basic knowledge of machine learning. Advanced knowledge of machine learning, especially deep learning, is a plus. - Experience in working with medical imaging data is a plus. *Responsibilities will include:* - Extraction and curation of imaging data set across different applications. - Implementation of machine learning training and validation pipelines. - Implementation of baseline deep learning models. - Building novel deep learning models tailored to medical image analysis. *Timeline, Salary, and Benefits* Please apply no later than 3/31/2021. We expect the appointed candidate to start during the summer or fall 2021. The initial appointment will be for a year, with an intention to renew further, depending on mutual agreement. We offer a competitive salary and benefits package. We welcome both domestic and international applicants. *To Apply* Please send your application (CV and a short motivation letter) to Yvonne Lui (yvonne.lui at nyulangone.org ) and Krzysztof Geras (k.j.geras at nyu.edu). Please use the string ?[machine learning research engineer 2021]? as the subject of the email. *About Us* The Center for Advanced Imaging Innovation & Research (CAI2R), located in midtown Manhattan, is operated by the research arm of the radiology department of NYU Langone Health. The research division comprises approximately 130 full-?time personnel dedicated to imaging research, development, and clinical translation. We are a highly collaborative group and work in interdisciplinary, matrixed teams that include engineers, scientists, clinicians, technologists, and industry experts. We encourage collaboration across research groups to promote creativity and nurture an environment conducive to breakthrough innovations at the forefront of biomedical research. We have access to datasets of massive sizes and computational clusters with over 300 cutting edge GPUs. To learn more about our research center, visit https://cai2r.net *References* [1] Learning a variational network for reconstruction of accelerated MRI data . K. Hammernik et al. MRM, 2018. [2] Assessment of the generalization of learned image reconstruction and the potential for transfer learning . F. Knoll et al. MRM, 2019. [3] fastMRI: An Open Dataset and Benchmarks for Accelerated MRI . J. Zbontar et al. 2018. [4] Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening . N. Wu et al. IEEE TMI, 2019. [5] Globally-Aware Multiple Instance Classifier for Breast Cancer Screening . Y. Shen et al. MLMI, 2019. [6] Breast density classification with deep convolutional neural networks . N. Wu et al. ICASSP, 2018. [7] Segmentation of the proximal femur from MR images using deep convolutional neural networks . C. M. Deniz et al. Scientific Reports, 2018. [8] On the design of convolutional neural networks for automatic detection of Alzheimer's disease . S. Liu et al. 2019. [9] DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation . A. Kaku et al. 2019. [10] Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis . Y. Wang et al. Neuroimage, 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Fri Nov 27 13:53:53 2020 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Fri, 27 Nov 2020 13:53:53 -0500 Subject: Connectionists: Postdoc and RAs hiring - modular hierarchical neural networks - Massachusetts Message-ID: The Siegelmann BINDS lab at UMass, Amherst is hiring multiple research assistance and postdoc positions for a couple of projects: Project 2: ?Modular hierarchical Neural Networks? focuses on creating modular neural networks with meta-knowledge. Application is in simulation of integrated circuits for fast testing, joint work with Lockheed Martin. Applying postdoc and RA should have knowledge or interest in the items below: 1. Neural networks training 2. Neural networks constructions 3. Hierarchical Neural networks 4. Compiler into neural networks 5. Meta learning, 6. Meta cognition 7. Chisel programming language 8. Integrated circuits To apply, please contact the PI directly: Hava Siegelmann at hava at cs.umass.edu Please include: CV, statement of capabilities and experience, all published papers, 3 letters of recommendation, and anything you believe can help you to land the position. -------------- next part -------------- An HTML attachment was scrubbed... URL: From luis.sanchez at uky.edu Sat Nov 28 23:38:33 2020 From: luis.sanchez at uky.edu (Sanchez Giraldo, Luis G.) Date: Sun, 29 Nov 2020 04:38:33 +0000 Subject: Connectionists: Call for papers "Measures of Dependence in Machine Learning and Signal Processing" (Special issue Entropy - MDPI) Deadline May 31st, 2021 Message-ID: Special Research topic in Entropy. Guest editor: Luis Gonzalo Sanchez Giraldo (University of Kentucky) Title: ?Measures of Dependence in Machine Learning and Signal Processing.? Researchers are invited to submit papers for this special edition. For more information about this call for papers visit URL: https://www.mdpi.com/journal/entropy/special_issues/Measures_Dependence Submission deadline: May 31, 2021 The aim of this special issue is to collect promising, recent, and novel research developments in measures of dependence in machine learning and signal processing. Areas to be covered in this Research Topic may include, but are not limited to: * New measures of dependence for high dimensional data. * Theory of estimators of dependence * New applications. For questions, please contact Prof. Luis Gonzalo Sanchez Giraldo via email: luis.sanchez at uky.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.rub.de Mon Nov 30 03:28:18 2020 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Mon, 30 Nov 2020 09:28:18 +0100 Subject: Connectionists: GEM 2021 - Call for papers - deadline today In-Reply-To: <2f31a4fc-5444-0747-876b-bf1968390509@ini.ruhr-uni-bochum.de> References: <2f31a4fc-5444-0747-876b-bf1968390509@ini.ruhr-uni-bochum.de> Message-ID: The deadline to submit abstracts for the GEM 2021 workshop is today at 11:59 PM (+1 GMT). Please visit https://easychair.org/cfp/gem2021 to submit your abstracts for both the main workshop and the PhD Symposium. *GEM 2021 - Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 16-18 February 2021 The workshop will take place in virtual space and is free of charge. Abstracts for both the workshop and the PhD symposium, which will precede the workshop, are now being accepted via EasyChair https://easychair.org/cfp/gem2021 Keynote Speakers: Karl-Heinz B?uml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - Syracuse University, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Call for papers The DFG-funded research consortium ?FOR 2812 ? Constructing scenarios of the past? https://for2812.rub.de is proud to announce a call for papers for its first workshop on generative episodic memory. We invite submissions for talks and posters https://easychair.org/cfp/gem2021 . Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is ? at least to a certain degree ? constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 ?Constructing scenarios of the past: A new framework in episodic memory? consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of M?nster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Paper submission deadlines [GMT +1 (CET)]: Abstract submission - 30.11.2020 Notification of acceptance - 31.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021 . Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of M?nster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of M?nster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812 at rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Postfachnummer 110 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From siscv at smu.edu.sg Mon Nov 30 03:49:28 2020 From: siscv at smu.edu.sg (siscv) Date: Mon, 30 Nov 2020 08:49:28 +0000 Subject: Connectionists: Targeted Tenure Track Advertisement in School of Information Systems, Singapore Management University to mailing list Message-ID: <4fb36b6e093d4490bf272e696fe7f256@smu.edu.sg> SMU Classification: Restricted Dear Connectionists We would like to advertise a job posting ad to your forum. Appreciate if you could advise how do we go ahead with the job posting advertisement? Below is a copy of our advertisement in plain text. ---------------------------------------------- Re: Positions for tenure track faculty in Artificial Intelligence & Data Science faculty in the following areas, Cognitive Science, Computational Neuroscience & Brain Science and Computation, School of Information Systems, Singapore Management University ---------------------------------------------- JOB DESCRIPTION The School of Information Systems (SIS) at the Singapore Management University (SMU) has several positions for tenure track faculty, at all ranks, in the disciplines of Computer Science & Engineering. We strategically hire to build critical mass and innovative capability in our core research areas and integrative research domains. We are particularly looking to augment our Artificial Intelligence & Data Science faculty in the following areas: * Cognitive Science * Computational Neuroscience * Brain Science and Computation CORE RESEARCH AREAS OF OUR SCHOOL Artificial Intelligence & Data Science * Data Management & Analytics, including natural language processing; data mining; data visualisation and analytics; recommender systems; social sensing and activation. * Intelligent Systems & Optimization, including large-scale optimisation and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation. * Machine Learning & Intelligence, including machine intelligence; machine learning and adaptation; deep learning; explainable AI; cognitive/brain-inspired computing; intelligent assistants; intelligence augmentation; human-in-the-loop AI. Human-Machine Collaborative Systems * Pervasive Sensing & Systems, including sensing & sensor information processing; IoT and embedded systems; mobile and pervasive systems; context-aware & edge computing platforms. * Human-Machine Interaction, including human-computer interaction; human-robot interaction; remote collaboration and wearable interfaces. * Multimedia, including computer vision; multimedia search; augmented reality; virtual reality. Information Systems & Technology * Software Engineering & Systems, including software mining, testing & analysis; IoT and mobile OS; low-power OS; cloud computing; autonomous systems; multi-robot collaboration. * Cybersecurity, including decentralised/distributed trusted systems; biometrics; computer forensics; data, media content and related applications security and privacy; software and system security; information security and usability; information security economics and risk analysis, modeling & metrics. * Information Systems Management, including economics of IT and management science; empirical methods, econometrics, and policy analytics; sharing economy and IT platforms; digitalisation and process transformation; fintech; marketing and healthcare IT; information security, technology innovation and IT impacts; interdisciplinary studies across the core areas. OUR INTEGRATIVE RESEARCH DOMAINS * Urban Systems & Operations * Active Citizenry & Communities * Safety & Security * Learning & Pedagogy While we encourage and nurture applied research addressing real-world problems, we simultaneously cultivate and value big ideas, and research that is intellectually deep and thought provoking. Our faculty target their academic output primarily in the most-selective, academically prestigious venues. We want our faculty striving to create research outputs that advance thinking and scholarship in the core research areas, and also seeking real-world impact in the integrative research domains in "the world of business". We offer extremely attractive salary and benefits that are usually superior to international competitive benchmarks. QUALIFICATIONS We are on the lookout for outstanding faculty candidates at all levels: * Fresh Ph.D. graduates * Postdocs looking for a faculty position * Ph.D. holders who are currently in industry but want to return to faculty and research work * Mid-career or senior faculty Tenure track faculty must have Ph.D. qualification in a relevant discipline (such as Computer Science, Computer Engineering, Information Technology and Information Systems) along with an outstanding research record. Interested candidates are invited to submit a cover letter (indicating your research interest), curriculum vitae, research and teaching statements, three recommendation letters, and three samples of published work to SIS Faculty Recruitment Singapore Management University School of Information Systems 80 Stamford Road Singapore 178902 Republic of Singapore E-mail: siscv at smu.edu.sg Website: sis.smu.edu.sg ABOUT THE SMU SCHOOL OF INFORMATION SYSTEMS A premier university in Asia, the Singapore Management University (SMU) is internationally recognised for its world-class research and distinguished teaching. Established in 2000, SMU's mission is to generate leading-edge research with global impact and produce broad-based, creative and entrepreneurial leaders for the knowledge-based economy. SMU education is known for its highly interactive, collaborative and project-based approach to learning, and for its technologically enabled pedagogy of seminar-style teaching in small class sizes. The School of Information Systems (SIS) offers an exceptionally supportive and inspirational environment for academic scholarship and research, applied R&D projects, and innovative education initiatives. We currently have more than 40 tenure-track faculty members working across research areas in computer science & engineering, and information systems management. They are complemented by over 20 practice & education faculty members who focus on teaching as well as translation and pedagogical research. Our Research. We are passionate about our research. We aim for excellence both in fundamental contribution to academic knowledge, as well as in creating technology with practical impact. Real-world industry sectors provide SIS with a testbed and laboratory for experimentation, as well as a fertile breeding ground for new ideas. Our faculty and students apply their research results to solve real problems in a variety of industry settings and to create IT applications and systems. At the same time, our faculty actively publish in top-quality Computer Science and Management Science conferences and journals. On our faculty are several world-class scholars and rising stars in their respective disciplines. We are committed to supporting the development of our faculty. Besides start-up support and career mentoring for junior faculty, their Ph.D. students are funded by the school rather than paid from their research grants. SIS faculty members are encouraged to collaborate on innovative research projects and also on integrative and interdisciplinary projects. SMU as well as Singapore government agencies, such as the National Research Foundation, provide generous support for high-quality research proposals. A noteworthy example of our funded research is the Living Analytics Research Centre (LARC), operated jointly with Carnegie Mellon University; LARC focuses on building technologies for Social Media Sensing and Analytics, and applying them in Singapore's Smart Nation initiatives. In addition, SIS is the academic lead in the Fujtsu-SMU Urban Computing and Engineering Corporate Lab (UNICEN), which focuses on urban mobility, logistics, and traffic management. In the area of Cybersecurity, SIS has a Secure Mobile Centre that conducts research into mobile device, cloud, and platform security. Our Education. SIS has more than 70 students enrolled in the Ph.D. in Information Systems and Ph.D. in Computer Science programmes. Ph.D. students can concentrate in any of our computer science oriented research areas, or in our management science oriented Information Systems & Management research area. SIS recently launched a new Professional Doctoral Degree, Doctor of Engineering (EngD). The programme aims to train students to become IT leaders with deep technical expertise for innovating, designing and managing complex IT systems. SIS also offers Master of IT in Business (MITB), a professionally oriented coursework programme, which has more than 400 students. The programme supports a Financial Technology & Analytics track focusing on FinTech and the integration of Technology & Operations in Banking, an Analytics track focusing on applied analytics for business, consumer and social insights, as well as an Artificial Intelligence (AI) track that emphasises building AI-enabled business applications. Additionally, we have over 1,800 undergraduate students in our B.Sc. (Computer Science), B.Sc. (Information Systems) and B.Sc. (Computing & Law) programmes. The programmes have been remarkably successful in demonstrating educational innovations and creating a culture of learning, establishing external linkages and partnerships with industry, government and the social sector, and with job placement. We have an entrepreneurial student body, and many SIS undergraduates have gone on to create or participate in start-ups. ------------------------ Faculty Recruitment Centre School of Information Systems Singapore Management University www.sis.smu.edu.sg -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CogSc-Tenure Faculty-Ad-2020m1130.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 39553 bytes Desc: CogSc-Tenure Faculty-Ad-2020m1130.docx URL: From a.passarella at iit.cnr.it Mon Nov 30 06:15:01 2020 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 30 Nov 2020 12:15:01 +0100 (CET) Subject: Connectionists: **Extended deadline** CfP: OSNEM Special Issue on Detecting, Understanding and Countering Online Harms Message-ID: <20201130111501.A7783163007C@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Online Social Networks and Media Journal (OSNEM) Special issue on Detecting, Understanding and Countering Online Harms ** Submission Deadline: 31st December 2020 ** http://www.journals.elsevier.com/online-social-networks-and-media/ ------------------------------------------------------------------------------ Online Social Networks and Media have revolutionized society, and are now a key part of how most people work, live, socialize, find information and entertain themselves. But whilst they have generated huge benefits, leading to unprecedented connectivity across the globe, online social networks have also enabled the spread of hazardous and dangerous behaviours. Such ???online harms??? are now a pressing concern of policymakers, regulators and big tech companies. Building deep knowledge about the scope, nature, prevalence, origins and dynamics of online harms is crucial for ensuring we can clean up online spaces. This, in turn, requires innovation and advances in methods, data, theory and research design -- and developing multi-domain and multi-disciplinary approaches. In particular, there is a real need for methodological research that develops high-quality methods for detecting online harms in a robust, fair and explainable way. This special issue seeks high-quality scientific articles (including data-driven, experimental and theoretical research) which examine harmful behaviours, communities, discourses and ideas in online social networks and media. We welcome submissions on any online harm but particularly encourage papers which focus on online hate, misinformation, disinformation, extremism and terrorism. Data-driven approaches, supported by publicly available datasets, are strongly encouraged. Areas of interest are (1) detecting and measuring online harms, (2) analysing online harms through the use of advanced modelling techniques and (3) developing and interrogating ways to tackle online harms. This includes but is not limited to: * The prevalence of online harms, either on one online platform or several. * The efficacy, usability and appropriateness of different counter measures to tackle online harms; both policies and new technologies. * The impact of large trigger events, such as COVID19 or the murder of George Floyd. * Niche and smaller online platforms, including how they differ from mainstream spaces. * Modelling and analysis techniques to predict online harms, as well as their dynamics and associated factors. * Machine learning (e.g. natural language processing and computer vision) to detect and categorise online harms. * The prevalence and role of counter speech online. * Biases in methods and analyses, including how explainable, accessible, fair, transparent and interpretable they are. * Integrated analysis of different online harms (e.g. studying how misinformation, hate and extremism intersect). * Cross-platform and inter-platform dynamics, such as user migration from mainstream to niche spaces. * Strategies for online harm dissemination used by malicious actors and others. * Community-based detection methods. * The ethics and social implications of socio-technical research to study and target online harms. Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Tentative timeline Manuscript submission deadline: 31st December 2020 First notification: 28th February 2021 Submission of revised paper: 31st March 2021 Notification of acceptance: 30th April 2021 Guest Editors Arkaitz Zubiaga, Queen Mary University of London Bertie Vidgen, Alan Turing Institute Miriam Fernandez, Open University Nishanth Sastry, University of Surrey ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select ''VSI:Online Harms'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ''Detecting, Understanding and Countering Online Harms''. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. From laurenz.wiskott at rub.de Mon Nov 30 07:52:54 2020 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 30 Nov 2020 13:52:54 +0100 Subject: Connectionists: Funding opportunity for young postdocs in Germany - NRW KI starter program Message-ID: <20201130125254.GF30028@curry> Dear Connectionists, I would like to draw your attention to a grant opportunity for young postdocs for an independent research position in North Rhine-Westphalia (NRW), Germany, see https://www.ptj.de/projektfoerderung/kuenstliche-intelligenz-starter (German page) https://www.ptj.de/lw_resource/datapool/systemfiles/cbox/5383/live/lw_bekdoc/ki-starter_call-for-project-funding-application.pdf (English instructions) https://www.ptj.de/lw_resource/datapool/systemfiles/cbox/5382/live/lw_bekdoc/ki-starter_notes-on-application-08012020.pdf (English instructions) You need to find a host institution in NRW, but I assume that most groups working in the field of ML/AI would be happy to host you. Please forward to potential candidates. Best regards and good luck, Laurenz Wiskott. __________________________________________________________________________ Prof. Dr. Laurenz Wiskott room: NB 3/29 Institut f?r Neuroinformatik phone: +49 234 32-27997 Ruhr Universit?t Bochum fax: +49 234 32-14210 D-44780 Bochum, Germany https://www.ini.rub.de/PEOPLE/wiskott/ laurenz.wiskott at rub.de __________________________________________________________________________ From doug.leith at scss.tcd.ie Mon Nov 30 08:33:41 2020 From: doug.leith at scss.tcd.ie (Doug Leith) Date: Mon, 30 Nov 2020 13:33:41 +0000 Subject: Connectionists: PhD positions on recommenders and bandit learning, Trinity College Dublin, Ireland Message-ID: We have two fully-funded PhD positions in data analytics for online services in the School of Computer Science & Statistics at Trinity College Dublin, Ireland. Topics include: design of recommenders and online bandit optimisation for users of online services, analysis of online reviews as an information market and mitigation of barriers to entry and filter bubbles, learning and optimisation in networks of interacting humans and online bots. These scholarships are available to both EU and international applicants and remain open until filled. This is a good opportunity to join a friendly group and work on some cool topics, TCD is the leading university in Ireland and we have most of the major IT companies on our doorstep plus Dublin is a fun city (well, it will be again once covid passes). To apply, submit a detailed CV, transcripts of undergraduate grades and the names and contact details of two referees for letters of recommendation to me at: doug.leith at tcd.ie. Doug From benoit.frenay at unamur.be Mon Nov 30 15:46:07 2020 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Mon, 30 Nov 2020 21:46:07 +0100 Subject: Connectionists: Academic position in SE / AI at UNamur Message-ID: Dear colleagues, If you are looking for a team of kind and passionate colleagues that value both research and teaching, the Faculty of Computer Science at UNamur has an open academic position in software engineering or artificial intelligence.? The Faculty has a long history of research in both fields and offers opportunities of collaborations between them.? It is located in Namur, an historical city at the center of Wallonia. All details can be found here: https://jobs.unamur.be/emploi.2020-11-25.9836990485/view (deadline is January 3). Best regards, Beno?t Fr?nay From jkroll at jkroll.com Mon Nov 30 23:08:20 2020 From: jkroll at jkroll.com (Joshua Kroll) Date: Mon, 30 Nov 2020 20:08:20 -0800 Subject: Connectionists: Call for Papers: IEEE Computer Special Issue on End-to-End System-Level Development and Deployment of Artificial Intelligence Message-ID: Artificial intelligence (AI) impacts the daily lives of people around the globe. A prominent example today is the pharmaceutical industry?s use of AI algorithms to aid in the development of a vaccine for the 2019 novel coronavirus (COVID-19). AI also affects our daily lives in more subtle, hidden ways. For instance, AI is used in an increasing number of consumer electronics applications, from children?s toys to Internet of Things (IoT)-enabled household appliances to embedded systems within automobiles for automating driving tasks. The advancement of AI has accelerated in large part due to the demand for an ever-increasing array of applications providing some level of automated decision-making and human-machine partnering. At the same time, engineers face the challenges of successfully conducting end-to-end system-level development and deployment of AI. For this special issue, we are soliciting articles that address lessons learned and best practices for conducting end-to-end system-level development and deployment of AI. The submissions should tell a story of end-to-end development and deployment in the context of a particular application. Topics of interest for this special issue include, but are not limited to: - Development and deployment of AI in embedded systems, the IoT, and the cloud - Engineering considerations such as dependability, trustworthiness, explainability, scalability, complexity, ethics, time-to-market, and other factors that influence successful development and deployment of AI-based systems - Tools, techniques, infrastructure, and processes that support end-to-end development and deployment of AI-based systems Questions? Contact the guest editors at co12-21 at computer.org. Lead Guest Editor: Dr. J. Bret Michael, Ph.D., Professor (tenured), Naval Postgraduate School Co-Guest Editors: Dr. Marko Orescanin, Assistant Professor, Naval Postgraduate School Dr. Joshua A. Kroll, Assistant Professor, Naval Postgraduate School For more information: https://www.computer.org/digital-library/magazines/co/call-for-papers-special-issue-on-end-to-end-system-level-development-and-deployment-of-artificial-intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: